Science Jobs refer to a broad category of careers focused on the pursuit of scientific research, practical applications of scientific knowledge, and the advancement of technology. These roles are typically found in sectors such as healthcare, engineering, environmental science, and pharmaceuticals. Key characteristics of Science Jobs include a strong emphasis on problem-solving, analytical skills, and a solid foundation in scientific principles. Individuals in these positions often engage in data analysis, experimentation, and innovation to contribute to scientific understanding and development. The field is dynamic and constantly evolving, offering a diverse range of opportunities for specialization and advancement.
Science jobs refer to employment opportunities within the fields of science, encompassing a wide range of disciplines such as chemistry, physics, biology, and environmental science, among others. These jobs are characterized by their focus on research, data analysis, and application of the scientific method to investigate natural phenomena or to develop new technologies. Individuals in science jobs often work in laboratories, universities, research institutions, or within the private sector. They are crucial for the advancement of knowledge, innovation, and the practical application of scientific discoveries to improve various aspects of life and solve complex problems.
Science Jobs refer to employment opportunities within the various fields of science, ranging from entry-level positions to advanced research and academic roles. Key features of these jobs often include conducting experiments, data analysis, problem-solving, and innovation in sectors like biology, chemistry, physics, and environmental science. Science Jobs demand a strong educational background and typically offer the potential for contributing to technological advancements and understanding of the natural world. These positions are pivotal in driving scientific progress and can be found in laboratories, universities, and industry settings.
Science jobs refer to employment opportunities within the fields of science, encompassing a wide range of disciplines such as chemistry, physics, biology, and environmental science, among others. These jobs are characterized by their focus on research, data analysis, and application of the scientific method to investigate natural phenomena or to develop new technologies. Individuals in science jobs often work in laboratories, universities, research institutions, or within the private sector. They are crucial for the advancement of knowledge, innovation, and the practical application of scientific discoveries to improve various aspects of life and solve complex problems.
Science Jobs refer to employment opportunities within the various fields of science, ranging from entry-level positions to advanced research and academic roles. Key features of these jobs often include conducting experiments, data analysis, problem-solving, and innovation in sectors like biology, chemistry, physics, and environmental science. Science Jobs demand a strong educational background and typically offer the potential for contributing to technological advancements and understanding of the natural world. These positions are pivotal in driving scientific progress and can be found in laboratories, universities, and industry settings.
processes that it requires. Responsibilities include: Working with mission owners to design, develop, and deploy new architectures for ML and automation applications such as ELT functions, HPC/compute infrastructure, AWS/Azure solutions, database solutions, and optimization of Dev Ops procedures Leveraging skills in modern data architecture, cloud engineering, data transformation, and management of structured and unstructured data sources Supporting and enhancing data architectures and data pipelines, and defining database schemas (Graph DB, SQL, No SQL) to support algorithm scalability and deployment based on organizational priorities and technology initiatives Participating in architectural
discussions to ensure solutions are designed for successful deployment, security, and high availability Adopting and maintaining best engineering practices in automation, HPC, CI/CD, and AI Ops Job Summary Depending on the skill-sets currently in demand, newly hired Data Engineers may be assigned to a mission office, or alternatively enrolled in the three-year Data Science Development Program (DSDP) in which they will both broaden and specialize their data science skills by taking courses and touring with a variety of mission offices (each for several months).
In either case you will work with NSA experts in data engineering, related technical domains, and specialized subject areas. You
will have opportunities to participate in internal technical roundtables, and to attend technical conferences with experts from industry and academia.
Qualifications Applicants will be asked to complete the Data Science Examination (DSE) evaluating their knowledge of statistics, mathematics, and computer science topics that pertain to data science work. Passing this examination at a local testing site is a requirement in order to be considered for selection into a data scientist position. Upon passing the examination, applicants will be evaluated for the minimum qualifications outlined in this ad. Transcripts will be requested prior to being invited to interview with Agency data science professionals.
The qualifications listed below are the minimum acceptable to be considered for the position. Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e. g. Computer Information Systems, Engineering), a degree in the physical/hard sciences (e. g. physics, chemistry, biology, astronomy), or other science disciplines (i. e. behavioral, social, library, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 200 level or higher; such as calculus, differential equations, discrete mathematics, linear algebra, and calculus based statistics) and/or computer science (e.
g. algorithms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count. Note: Degrees in related fields will be considered if accompanied by a Certificate in Data Science from an accredited college/university.
Relevant experience must be in one or more of the following (for Entry level) but in two or more for Full Performance, Senior, and Expert levels: designing/implementing machine learning, data mining, advanced analytical algorithms, programming, data science, advanced statistical analysis, artificial intelligence, computational science, software engineering, or data engineering. ENTRY/DEVELOPMENTAL Entry is with a Bachelor's degree and no experience. An Associate's degree plus 2 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.
FULL PERFORMANCE Entry is with a Bachelor's degree plus 3 years of relevant experience or a Master's degree plus 1 year of relevant experience or a Doctoral degree and no experience. An Associate's degree plus 5 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position. SENIOR Entry is with a Bachelor's degree plus 6 years of relevant experience or a Master's degree plus 4 years of relevant experience or a Doctoral degree plus 2 years of relevant experience. An Associate's degree plus 8 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.
EXPERT Entry is with a Bachelor's degree plus 9 years of relevant experience or a Master's degree plus 7 years of relevant experience or a Doctoral degree plus 5 years of relevant experience. An Associate's degree plus 11 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position. Competencies The ideal candidate has a desire for continual learning along with excellent analytical, problem-solving, communication (oral and written), and interpersonal skills who is: Accountable Proactive Detail oriented Able to solve complex problems Proficient with critical thinking and reasoning to make analytic determinations Effective at working in a collaborative team environment Able to bridge the gap with both technical and non-technical audiences Knowledge, skills, and relevant experience in one or more of the following is required: Designing and implementing machine learning Data mining Advanced analytical algorithms Programming Data science Advanced statistical analysis Artificial Intelligence Computational science Software engineering Data engineering Pay, Benefits, & Work Schedule Salary offers are based on candidates' education level and years of experience relevant to the position and also take into account information provided by the hiring manager/organization regarding the work level for the position.
This is a full-time position, hiring for the Maryland, Colorado & Hawaii locations. Salary ranges vary by work level. Salary range: $81,233 - $183,500 (Entry/Developmental, Full Performance, Senior, Expert) On the job training, internal NSA courses, and external training will be made available based on the need and experience of the selectee.
Typical work schedule is Monday - Friday, with basic 8 hr/day requirements between 0600 to 1800 (flexible). How to apply Apply soonest, as job postings can close earlier than stated end dates due to changes in requirements. It is important to review and note the minimum qualifications, as only those applicants who meet the required qualifications will be contacted to continue the employment process. Please populate the resume tool to showcase any relevant work experience and education related to the position and answer any applicable screening questions.
Information collected will be used to determine eligibility, and failure to provide accurate information may result in disqualification for this position. A confirmation email will be sent after submission of the first application and also after any future updates to submitted applications. Due to time sensitive communications regarding applications, please ensure your spam filters are configured to accept email from noreplyintelligencecareers. gov. For job vacancies that include stated testing requirements, also include the following: uwe. nsa. gov, nsa. gov, and U.
S. Citizenship is required for all applicants. NSA is an equal opportunity employer and abides by applicable employment laws and regulations. All applicants and employees are subject to random drug testing in accordance with Executive Order 12564. Employment is contingent upon successful completion of a security background investigation and polygraph. Reasonable accommodations may be provided to applicants with disabilities during the application and hiring process where appropriate. Please visit our Diversity link for more information www. intelligencecareers. gov/NSA/diversity-and-inclusion.
DCIPS Disclaimer The National Security Agency (NSA) is part of the Do D Intelligence Community Defense Civilian Intelligence Personnel System (DCIPS). All positions in the NSA are in the Excepted Services under 10 United States Codes (USC) 1601 appointment authority. Do D Components with DCIPS positions apply Veterans' Preference to eligible candidates as defined by Section 2108 of Title 5 USC, in accordance with the procedures provided in Do D Instruction 1400.25, Volume 2005, DCIPS Employment and Placement. If you are a veteran claiming veterans' preference, as defined by Section 2108 of Title 5 U.
S. C. you may be asked to submit documents verifying your eligibility. For more details: jobs-search. org/architecture-construction_fort-meade-c433937/data-engineer-data-scientist-entry-to-expert-level-maryland-hawaii-colorado-locations-fort_i1977744856
processes that it requires. Responsibilities include: Leading or contributing to cross-functional teams to develop and implement Al that can help solve some of our most challenging problems Applying modern engineering techniques to develop decision support software prototypes Proposing and executing novel, cutting-edge research in Al-enhanced decision systems Testing and evaluating Al solutions against mission requirements and producing actionable recommendations Job Summary Depending on the skill-sets currently in demand, newly hired AI Engineers may be assigned to a mission office, or alternatively enrolled in the three-year Data Science Development Program (DSDP) in which they will both broaden
and specialize their data science skills by taking courses and touring with a variety of mission offices (each for several months).
In either case you will work with NSA experts in AI engineering, related technical domains, and specialized subject areas.
You will have opportunities to participate in internal technical roundtables, and to attend technical conferences with experts from industry and academia. Qualifications Applicants will be asked to complete the Data Science Examination (DSE) evaluating their knowledge of statistics, mathematics, and computer science topics that pertain to data science work. Passing this examination at a local testing site is a requirement in order
to be considered for selection into a data scientist position.
Upon passing the examination, applicants will be evaluated for the minimum qualifications outlined in this ad. Transcripts will be requested prior to being invited to interview with Agency data science professionals. The qualifications listed below are the minimum acceptable to be considered for the position. Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e. g. Computer Information Systems, Engineering), a degree in the physical/hard sciences (e. g. physics, chemistry, biology, astronomy), or other science disciplines (i.
e. behavioral, social, library, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 200 level or higher; such as calculus, differential equations, discrete mathematics, linear algebra, and calculus based statistics) and/or computer science (e. g. algorithms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count.
Note: Degrees in related fields will be considered if accompanied by a Certificate in Data Science from an accredited college/university. Relevant experience must be in one or more of the following (for Entry level) but in two or more for Full Performance, Senior, and Expert levels: designing/implementing machine learning, data mining, advanced analytical algorithms, programming, data science, advanced statistical analysis, artificial intelligence, computational science, software engineering, or data engineering. ENTRY/DEVELOPMENTAL Entry is with a Bachelor's degree and no experience.
An Associate's degree plus 2 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position. FULL PERFORMANCE Entry is with a Bachelor's degree plus 3 years of relevant experience or a Master's degree plus 1 year of relevant experience or a Doctoral degree and no experience. An Associate's degree plus 5 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position. SENIOR Entry is with a Bachelor's degree plus 6 years of relevant experience or a Master's degree plus 4 years of relevant experience or a Doctoral degree plus 2 years of relevant experience.
An Associate's degree plus 8 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position. EXPERT Entry is with a Bachelor's degree plus 9 years of relevant experience or a Master's degree plus 7 years of relevant experience or a Doctoral degree plus 5 years of relevant experience. An Associate's degree plus 11 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.
Competencies The ideal candidate has a desire for continual learning along with excellent analytical, problem-solving, communication (oral and written), and interpersonal skills who is: Accountable Proactive Detail oriented Able to solve complex problems Proficient with critical thinking and reasoning to make analytic determinations Effective at working in a collaborative team environment Able to bridge the gap with both technical and non-technical audiences Knowledge, skills, and relevant experience in one or more of the following is required: Designing and implementing machine learning Data mining Advanced analytical algorithms Programming Data science Advanced statistical analysis Artificial Intelligence Computational science Software engineering Data engineering Pay, Benefits, & Work Schedule Salary offers are based on candidates' education level and years of experience relevant to the position and also take into account information provided by the hiring manager/organization regarding the work level for the position.
This is a full-time position, hiring for the Maryland, Colorado & Hawaii locations. Salary ranges vary by work level.
Salary range: $81,233 - $183,500 (Entry/Developmental, Full Performance, Senior, Expert) On the job training, internal NSA courses, and external training will be made available based on the need and experience of the selectee. Typical work schedule is Monday - Friday, with basic 8 hr/day requirements between 0600 to 1800 (flexible). How to apply Apply soonest, as job postings can close earlier than stated end dates due to changes in requirements. It is important to review and note the minimum qualifications, as only those applicants who meet the required qualifications will be contacted to continue the employment process.
Please populate the resume tool to showcase any relevant work experience and education related to the position and answer any applicable screening questions. Information collected will be used to determine eligibility, and failure to provide accurate information may result in disqualification for this position. A confirmation email will be sent after submission of the first application and also after any future updates to submitted applications. Due to time sensitive communications regarding applications, please ensure your spam filters are configured to accept email from noreplyintelligencecareers.
gov. For job vacancies that include stated testing requirements, also include the following: uwe. nsa. gov, nsa. gov, and U. S. Citizenship is required for all applicants. NSA is an equal opportunity employer and abides by applicable employment laws and regulations. All applicants and employees are subject to random drug testing in accordance with Executive Order 12564. Employment is contingent upon successful completion of a security background investigation and polygraph. Reasonable accommodations may be provided to applicants with disabilities during the application and hiring process where appropriate.
Please visit our Diversity link for more information www. intelligencecareers. gov/NSA/diversity-and-inclusion. DCIPS Disclaimer The National Security Agency (NSA) is part of the Do D Intelligence Community Defense Civilian Intelligence Personnel System (DCIPS). All positions in the NSA are in the Excepted Services under 10 United States Codes (USC) 1601 appointment authority. Do D Components with DCIPS positions apply Veterans' Preference to eligible candidates as defined by Section 2108 of Title 5 USC, in accordance with the procedures provided in Do D Instruction 1400.25, Volume 2005, DCIPS Employment and Placement.
If you are a veteran claiming veterans' preference, as defined by Section 2108 of Title 5 U. S. C. you may be asked to submit documents verifying your eligibility. For more details: jobs-search. org/information-technology_hawaii-r782053/ai-engineer-data-scientist-entry-to-expert-level-maryland-hawaii-colorado-locations-honolu_i1977522585
your mathematical science, computer science, and quantitative analysis skills to develop solutions to complex data problems and take full advantage of NSA's capabilities to tackle the highest priority challenges. Responsibilities include: Exploring data analysis and model-fitting to reveal data features of interest Using the machine-learned predictive modeling Constructing usable data sets from multiple sources to meet customer needs Identifying and analyzing anomalous data (including metadata) Developing conceptual design and models to address mission requirements Developing qualitative and quantitative methods for characterizing datasets in various states Performing analytic modeling, scripting,
and/or programming Working collaboratively and iteratively throughout the data-science lifecycle Designing and developing analytics and techniques for analysis Analyzing data using mathematical and statistical methods Evaluating, documenting, and communicating research processes, analyses, and results to customers, peers, and leadership Creating interpretable visualizations Job Summary Depending on the skill-sets currently in demand, newly hired Data Scientists may be assigned to a mission office, or alternatively enrolled in the three-year Data Science Development Program (DSDP) in which they will both broaden and specialize their data science skills by taking courses and touring with a variety
of mission offices (each for several months).
In either case you will work with NSA experts in data science, related technical domains, and specialized subject areas.
You will have opportunities to participate in internal technical roundtables, and to attend technical conferences with experts from industry and academia. Qualifications Applicants will be asked to complete the Data Science Examination (DSE) evaluating their knowledge of statistics, mathematics, and computer science topics that pertain to data science work. Passing this examination at a local testing site is a requirement in order to be considered for selection into a data scientist position.
Upon passing the examination, applicants will be evaluated for the minimum qualifications outlined in this ad. Transcripts will be requested prior to being invited to interview with Agency data science professionals. The qualifications listed below are the minimum acceptable to be considered for the position. Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e. g. Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.
g. physics, chemistry, biology, astronomy), or other science disciplines (i. e. behavioral, social, library, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 200 level or higher; such as calculus, differential equations, discrete mathematics, linear algebra, and calculus based statistics) and/or computer science (e. g. algorithms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count.
Note: Degrees in related fields will be considered if accompanied by a Certificate in Data Science from an accredited college/university. Relevant experience must be in one or more of the following (for Entry level) but in two or more for Full Performance, Senior, and Expert levels: designing/implementing machine learning, data mining, advanced analytical algorithms, programming, data science, advanced statistical analysis, artificial intelligence, computational science, software engineering, or data engineering. ENTRY/DEVELOPMENTAL Entry is with a Bachelor's degree and no experience.
An Associate's degree plus 2 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position. FULL PERFORMANCE Entry is with a Bachelor's degree plus 3 years of relevant experience or a Master's degree plus 1 year of relevant experience or a Doctoral degree and no experience. An Associate's degree plus 5 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position. SENIOR Entry is with a Bachelor's degree plus 6 years of relevant experience or a Master's degree plus 4 years of relevant experience or a Doctoral degree plus 2 years of relevant experience.
An Associate's degree plus 8 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position. EXPERT Entry is with a Bachelor's degree plus 9 years of relevant experience or a Master's degree plus 7 years of relevant experience or a Doctoral degree plus 5 years of relevant experience. An Associate's degree plus 11 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.
Competencies The ideal candidate has a desire for continual learning along with excellent analytical, problem-solving, communication (oral and written), and interpersonal skills who is: Accountable Proactive Detail oriented Able to solve complex problems Proficient with critical thinking and reasoning to make analytic determinations Effective at working in a collaborative team environment Able to bridge the gap with both technical and non-technical audiences Knowledge, skills, and relevant experience in one or more of the following is required: Designing and implementing machine learning Data mining Advanced analytical algorithms Programming Data science Advanced statistical analysis Artificial Intelligence Computational science Software engineering Data engineering Pay, Benefits, & Work Schedule Salary offers are based on candidates' education level and years of experience relevant to the position and also take into account information provided by the hiring manager/organization regarding the work level for the position.
This is a full-time position, hiring for the Maryland, Colorado & Hawaii locations. Salary ranges vary by work level.
Salary range: $81,233 - $183,500 (Entry/Developmental, Full Performance, Senior, Expert) On the job training, internal NSA courses, and external training will be made available based on the need and experience of the selectee. Typical work schedule is Monday - Friday, with basic 8 hr/day requirements between 0600 to 1800 (flexible). How to apply Apply soonest, as job postings can close earlier than stated end dates due to changes in requirements. It is important to review and note the minimum qualifications, as only those applicants who meet the required qualifications will be contacted to continue the employment process.
Please populate the resume tool to showcase any relevant work experience and education related to the position and answer any applicable screening questions. Information collected will be used to determine eligibility, and failure to provide accurate information may result in disqualification for this position. A confirmation email will be sent after submission of the first application and also after any future updates to submitted applications. Due to time sensitive communications regarding applications, please ensure your spam filters are configured to accept email from noreplyintelligencecareers.
gov. For job vacancies that include stated testing requirements, also include the following: uwe. nsa. gov, nsa. gov, and U. S. Citizenship is required for all applicants. NSA is an equal opportunity employer and abides by applicable employment laws and regulations. All applicants and employees are subject to random drug testing in accordance with Executive Order 12564. Employment is contingent upon successful completion of a security background investigation and polygraph. Reasonable accommodations may be provided to applicants with disabilities during the application and hiring process where appropriate.
Please visit our Diversity link for more information www. intelligencecareers. gov/NSA/diversity-and-inclusion. DCIPS Disclaimer The National Security Agency (NSA) is part of the Do D Intelligence Community Defense Civilian Intelligence Personnel System (DCIPS). All positions in the NSA are in the Excepted Services under 10 United States Codes (USC) 1601 appointment authority. Do D Components with DCIPS positions apply Veterans' Preference to eligible candidates as defined by Section 2108 of Title 5 USC, in accordance with the procedures provided in Do D Instruction 1400.25, Volume 2005, DCIPS Employment and Placement.
If you are a veteran claiming veterans' preference, as defined by Section 2108 of Title 5 U. S. C. you may be asked to submit documents verifying your eligibility. For more details: jobs-search. org/architecture-construction_hawaii-r782053/data-scientist-entry-to-expert-level-maryland-hawaii-colorado-locations-honolulu-county_i1977506184
hypotheses, wrangle data, train and refine new models all to discover predictable and actionable insights that inform senior-level decision-makers. Duties/Tasks and Responsibilities: Develop artificial intelligence (AI) and machine learning (ML) methodologies to enhance accuracy and comprehensiveness of data.
Develop AI and ML methodologies to apply against unstructured data sets. Design, develop, and implement data-driven solutions using advanced statistical methods and machine learning technologies. Apply statistical techniques to develop models utilizing enterprise data warehouses and/or data lakes. Generate and test working hypotheses: aggregate and mine data, conduct analyses, and
extract actionable results. Design novel algorithms for problem solving, which may include data cleansing, feature selection, statistical modeling, data clustering and classification, text processing, and other machine learning techniques, to solve complex business problems presented by the organization.
Design and implement data pipelines, data wrangling, model training and expand on business analytics needs. Work as a key part of cross-functional teams with various internal customer groups to study quantified business use cases, identify business problems and formulate desired outcomes. Have experience in communicating modeling procedures and results to non-technical experts. #divergent
Here’s What You’ll Need: TS/SCI clearance with polygraph required Five year’s experience in the practice of analytics within the Intelligence Community (IC) or the Department of Defense (Do D) BA/BS degree in a strongly quantitative field such as: Computer Science, Statistics, Applied Mathematics, Engineering, Information Systems, or Computational Linguistics.
Demonstrated experience in applied computer science and statistics concepts including predictive modeling. Several years of experience programming in Python or R with strong working knowledge of data science related libraries like Num Py, Sci Py, Pandas, XGBoost, Sci Kit, Plotly, etc. Possess the ability to think creatively and demonstrate analytical skills, analyzing complex situations both alone and as part of a team, learning quickly and synthesizing solutions, options and action plans.
Ability to apply the scientific method to create data experiments, train novel data models and deliver prescriptive and predictive data models. Experience in data wrangling (cleaning, harmonizing and pre-processing data) from varied sources, including structured, semi-structured, and unstructured data. Data visualization experience utilizing star-schemas for optimized performance along with BI visualization tools like Oracle Analytics Server/Cloud, Tableau, or similar.
Excellent organizational, communication & documentation skills with high attention to detail Desired Requirements: Masters or Ph D in Data Science, Statistics or Mathematics Expert in writing optimized Oracle SQL Working knowledge of AWS and Git For more details: jobs-search. org/data-scientist_mclean-c449884/data-scientist-tssci-with-poly-required-security-clearance-required-mclean_i1976021084
US Citizenship Required?
Yes Base-2 Solutions is looking for a Data Scientist Level 3. Education Required Bachelor’s degree plus 10 years of relevant experience. Associate’s degree plus 12 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.
Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e. g. Computer Information Systems, Engineering), a degree in the physical/hard sciences (e. g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial
computational component (i. e. behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 300 level or higher; such as linear algebra, probability and statistics, machine learning) and/or computer science (e.
g. algorthms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count. Training/Certifications Required A broader range of degrees will be considered if accompanied by a Certificate in Data Science from
an accredited college/university. Description of Relevant Experience Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorthms, programming (skill in at least one high-level language (e.
g. Python) and skill in at least one mid-level language (e. g. C)), data mining, advanced statistical analysis (e. g. statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations (e. g. numerical methods, graph theory), artificial intelligence, workflow and reproductibility, data management and curation, data modeling and backssment (e. g. model selection, evaluation, and sensitivity analysis), experience as a data scientist working to support a single or multiple domain areas, and/or software engineering.
Experience in more than three areas is strongly preferred. Leveraging data in MDRs focused on data integrity, value backssment, and backssing data size and types. Working with analytics. Our Pay & Benefits Include Compensation Above Market Pay Large Referral Bonuses Additional Bonuses for Exceptional Performance and Assisting with Business Development and Company Growth Health 100% Paid Premiums for Health Insurance. Choose from over 60 gold-level medical plans from Aetna, Care First BCBS, Kaiser and United Healthcare.
Choose from PPO, EPO, POS, HMO, and HSA-compatible plans with Health Savings Account and Flexible Spending Account Options. 100% Paid Premiums for Dental Insurance 100% Paid Premiums for Vision Insurance Income Protection 100% Paid Premiums for Short-Term Disability 100% Paid Premiums for Long-Term Disability 100% Paid Premiums for Accidental Death & Dismemberment 100% Paid Premiums for Basic Term Life Insurance Retirement 8% Company Contribution to 401k with Immediate Vesting of Contributions and Pre-Tax and Roth Options Leave Up to 20 Days of Flexible Paid Time Off (PTO) 11 Days of Paid Floating Holidays Work-Life Balance Flexible Work Schedules including Flex Time and Compressed Work Period Remote Work including Partial or Fully Remote.
For more details: jobs-search. org/tourism_fort-meade-c433937/job_i1976111242
provide support and expertise to help U. The Branch Audit Department plays a critical role in achieving the Compliance Division's purpose of promoting our clients' best interests and decisions that foster an environment of trust by continuously partnering together to strengthen our culture of compliance to enable the best client, branch team and associate experiences.
Through teams of Branch Auditors, the Branch Audit Department executes a risk-based audit program consisting of activities required by various regulatory bodies. Branch Auditors inspect branch offices and registered locations and conduct tailored compliance discussions with branch team members and associates to help protect
clients, branch teams and the firm. Louis or Tempe, be home based and work remotely or have a hybrid work arrangement based on personal preference. Key Responsibilities Conduct risk-based reviews of business practices, processes, client accounts, and electronic records utilizing data analytics, reports, and tailored discussions to test the Financial Advisor and branch team's compliance with industry regulations and firm policies Partner with Financial Advisors and branch teams through a client-centric approach to assist them in building a successful and compliant business Provide verbal and written communication related to the outcome of the review, potential concerns or risk areas discussed,
specific actions needed, and resources provided Collaborate to address potential issues or risk areas with Financial Advisors, branch teams, and home office associates; Participate in department projects and initiatives with a focus on improving department processes and audit program effectiveness Travel approximately 40% to 50% of the time (approximately two weeks per month) to conduct inspections and tailored compliance discussions Travel may be required 40-50% of the time (approximately two weeks per month) to conduct inspections and tailored compliance discussions Financial service experience is preferred Bachelor's degree is preferred Broad knowledge of financial services products, industry rules and regulations, and firm policies and processes; Deliver results in a dynamic environment independently and through partnership with others Louis, MO home office locations are expected to work in the office three days per week, with preference for Tuesday through Thursday.100 Best Workplaces for Millennials in 2022, published Fortune July 2022, Great Places to Work® data as of March 2022.
2022 Fortune Best Workplaces for Women, published September 2022, research by Great Places to Work®, data as of August 2021. Edward Jones has been named to the 2022 Best Workplaces for Women list by Great Places to Work® and Fortune® magazine, ranking No.
2022 Fortune's 100 Best Companies to Work For, published April 2022, research by Great Place to Work®, data as of August 2021. 2022 Best Places to Work For LGBTQ+ Equality, Great Place to Work® in partnership with Human Rights Campaign Foundation, published Equity Magazine January 2022, data as of July 2021. Edward Jones scored 100 percent on the Human Rights Campaign Foundation's 2022 Corporate Equality Index (CEI) the nation's foremost benchmarking survey and report measuring corporate policies and practices related to LGBTQ+ workplace equality.
Edward Jones does not discriminate on the basis of race, color, gender, religion, national origin, age, disability, interactionual orientation, pregnancy, veteran status, genetic information or any other basis prohibited by applicable law. At Edward Jones, we value and respect our associates and their contributions, and we recognize individual efforts through a rewards program that promotes a long-term career, financial security and well-being. The salary range for this role is based on national data and actual pay is based on skills, experience, education, and other relevant factors for a potential new associate: For more details: jobs-search.
org/data-auditor_hurley-c436618/data-auditor-hurley_i1975996000
from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and backssing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in data holdings.
Translate practical needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate
complex technical information to non-technical audiences. Minimum Qualifications: 10 years relevant experience with Bachelors in related field; or 8 years experience with Masters in related field; or 6 years experience with a Doctoral degree in a related field; or 12 years of relevant experience and an Associates may be considered for individuals with in-depth experience Degree in an Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science, or related field of technical rigor Ability/willingness to work full-time onsite in secure government workspaces Note: A broader range of degrees will be considered if accompanied
by a Certificate in Data Science from an accredited college/university.
Clearance Requirements: This position requires a TS/SCI with FS Poly #LI-ZS1 #LI-Onsite For more details: jobs-search. org/technology_fort-meade-c433937/senior-data-scientist-security-clearance-required-fort-meade_i1976026236
The incumbent will apply advanced bioinformatics and data analysis skills in collaboration with a group of computational and biomarker scientists to execute on strategies for prognostic, predictive and pharmacodynamic biomarkers, and companion diagnostic tests for clinical development programs.
The incumbent will also apply these methods to characterize mechanisms of response and resistance to pipeline molecules, and inform novel research activities. For this particular position, we are seeking an innovative and productive Ph. D. -level scientist(preferably with at least two years of post-doctoral experience) with a consistent and outstanding record of creativity and performance in cellular
phenotyping (e. g. flow cytometry, mass cytometry (i. e Cy TOF), multiplex imaging, etc) and bioinformatics, evidenced by peer reviewed publications in top tier journals or patent applications.
The successful candidate is expected to effectively interact with cross functional teams; analyze data supporting innovative clinical development programs; author publications focused on biomarkers and translational research; interact with key collaborators and investigators; and promote collaborative efforts to advance biomarker sciences As a Senior Scientist, you are expected to: Lead the technical development and implementation of cytometry informatics pipelines to support biomarker discovery
and translation science across entire portfolio Lead evaluation of the theory and software implementations for published cytometry analytics and statistical methods Collaborate deeply with internal data management and software development to improve findability/usability of cytometry data in conjunction with other biomarker data Drive application of advanced analytic techniques to extract disease biology and mechanistic insights, and identify biological targets from next generation cellular phenotyping data especially next generation flow, but also mass cytometry, and single cell sequencing data Generate biological insights by the integrating complex cytometry data with clinical covariants Identify associations between clinical outcomes and phenotypic biomarkers Combine phenotyping data with large clinical biomarker datasets including NGS-based DNA and bulk RNA results for integrative analysis Effectively manage scientific collaborations, both internal and external Drive scientific and technical innovation collaboratively with other members of the department Support development and execution of exploratory biomarker and companion diagnostic strategies for multiple projects Support and drive publications in high quality scientific, technical or medical journals Represent the biomarker team externally through interactions with our key investigators Participate and thrive in an interactive, team oriented culture Who You Are Ph D degree in a relevant scientific field (e.
g. molecular biology, cancer biology, immunology, genomics, or bioinformatics) Prefer minimum of 2 years postdoctoral experience in basic or translational research either in an academic or industry setting Strong bioinformatics programming skills (e. g. using R or Python) and familiarity with the Unix operating system. Experience with Bioconductor is preferred.
Experience analyzing and interpreting high throughput cellular phenotyping data such as single cell sequencing, next generation flow, or mass cytometry data Experience with implementing unsupervised analysis pipelines to derive biological insights from high dimensional flow cytometry assays like Cy Tek and spectral flow. Experience in clinical drug development is beneficial, including understanding of critical development functions, e. g. biomarker development, operations, and biostatistics. Experience in human immunology, cancer immunotherapy, or translational research and ability to perform high quality functional assays.
Outstanding presentation and communication skills Relocation benefits are available for this job posting. The expected salary range for this position based on the primary location of California is insert $124,800 - $231,800. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below. Benefits #g CSGenentech is an equal opportunity employer, and we embrace the increasingly diverse world around us.
Genentech prohibits unlawful discrimination based on race, color, religion, gender, interactionual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status.
to advance our pre-clinical therapeutic pipeline, including establishing tumor xenograft models, performing murine treatment studies and running multi-color flow cytometry. The successful candidate will work in a highly collaborative team and bring a passion for science, excellent interpersonal and organizational skills, experience with in vivo mouse modelling and flow cytometry, and a strong background in tumor biology and/or immuno-oncology.
As a Scientist in the Oncology Research team, a typical day might include the following: Independently perform in vivo anti-tumor therapeutic efficacy studies Perform injections through various routes (intraperitoneal, intravenous, subcutaneous
and collect blood and isolating mouse tissues Isolate immune cells from mouse and human tissues for further functional and phenotypic characterization Performing ex-vivo immunophenotyping using multicolor flow cytometry Perform a variety of in vitro tumor cell and immune-cell based assays, including: ELISAs, , proliferation-based assays and basic cell culture Maintaining and culturing cells as necessary.
Analyze data using Flow Jo, Microsoft Excel and Graph Pad Prism Developing new methods or technologies, and troubleshoot experiments Write protocols and study reports, produce, and maintain accurate electronic records Communicate findings to peers and management at various group and cross
functional meetings This role may be a fit for you if you: Enjoy working in a fast-paced environment Learn quickly and have desire to expand your skill set with new techniques Are detail oriented, well-organized and can multi-task effectively Are a great teammate with a collaborative spirit You have strong communication skills In order to be considered for this opportunit y you must have a Bachelor's or Master's degree in Immunology, Bioengineering or related fields with at least 3+ years of experience working in an immunology or cancer biology laboratory.
Experience conducting experiments using mouse models with training in proper handling and care of mice.
Experience in tissue culture and cell-based assays, including flow cytometry. Proficient computer skills and experience collecting and analyzing biological data. Does this sound like you? Apply now to take your first steps toward living the Regeneron Way! We have an inclusive and diverse culture that provides comprehensive benefits including health and wellness programs, fitness centers and equity awards, annual bonuses, and paid time off for eligible employees at all levels! Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), interaction, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, interactionual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or parental status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations.
We will ensure that individuals with disabilities are provided reasonable accommodations to participate in the job application process.
Please contact us to discuss any accommodations you think you may need. The salary ranges provided are shown in accordance with U. S. law and apply to U. S. based positions, where the hired candidate will be located in the U. S. If you are outside the U. S, please speak with your recruiter about salaries and benefits in your location. Salary Range (annually) $77,600.00 - $126,600.00
pipeline.
The incumbent will apply advanced bioinformatics and data analysis skills in collaboration with a group of computational and biomarker scientists to execute on strategies for prognostic, predictive and pharmacodynamic biomarkers, and companion diagnostic tests for clinical development programs.
The incumbent will also apply these methods to characterize mechanisms of response and resistance to pipeline molecules, and inform novel research activities. For this particular position, we are seeking an innovative and productive Ph. D. -level scientist(preferably with at least two years of post-doctoral experience) with a consistent and outstanding record of creativity and
performance in cellular phenotyping (e. g. flow cytometry, mass cytometry (i. e Cy TOF), multiplex imaging, etc) and bioinformatics, evidenced by peer reviewed publications in top tier journals or patent applications.
The successful candidate is expected to effectively interact with cross functional teams; analyze data supporting innovative clinical development programs; author publications focused on biomarkers and translational research; interact with key collaborators and investigators; and promote collaborative efforts to advance biomarker sciences As a Senior Scientist, you are expected to: Lead the technical development and implementation of cytometry informatics pipelines to support
biomarker discovery and translation science across entire portfolio Lead evaluation of the theory and software implementations for published cytometry analytics and statistical methods Collaborate deeply with internal data management and software development to improve findability/usability of cytometry data in conjunction with other biomarker data Drive application of advanced analytic techniques to extract disease biology and mechanistic insights, and identify biological targets from next generation cellular phenotyping data especially next generation flow, but also mass cytometry, and single cell sequencing data Generate biological insights by the integrating complex cytometry data with clinical covariants Identify associations between clinical outcomes and phenotypic biomarkers Combine phenotyping data with large clinical biomarker datasets including NGS-based DNA and bulk RNA results for integrative analysis Effectively manage scientific collaborations, both internal and external Drive scientific and technical innovation collaboratively with other members of the department Support development and execution of exploratory biomarker and companion diagnostic strategies for multiple projects Support and drive publications in high quality scientific, technical or medical journals Represent the biomarker team externally through interactions with our key investigators Participate and thrive in an interactive, team oriented culture Who You Are Ph D degree in a relevant scientific field (e.
g. molecular biology, cancer biology, immunology, genomics, or bioinformatics) Prefer minimum of 2 years postdoctoral experience in basic or translational research either in an academic or industry setting Strong bioinformatics programming skills (e. g. using R or Python) and familiarity with the Unix operating system. Experience with Bioconductor is preferred.
Experience analyzing and interpreting high throughput cellular phenotyping data such as single cell sequencing, next generation flow, or mass cytometry data Experience with implementing unsupervised analysis pipelines to derive biological insights from high dimensional flow cytometry assays like Cy Tek and spectral flow. Experience in clinical drug development is beneficial, including understanding of critical development functions, e. g. biomarker development, operations, and biostatistics. Experience in human immunology, cancer immunotherapy, or translational research and ability to perform high quality functional assays.
Outstanding presentation and communication skills Relocation benefits are available for this job posting. The expected salary range for this position based on the primary location of California is insert $124,800 - $231,800. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below. Benefits #g CS Who we are A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases.
Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work. Diversity and Inclusion (D&I) are critical to the success of our company and our impact on society. We believe that by championing diversity of background, thought and experience, we can foster a sense of belonging and provide an environment where every employee feels valued, included, and able to contribute their best for the patients we serve.
We're focused on attracting, retaining, developing and advancing our people to their full potential by rewarding bold ways of thinking and integrating inclusive behaviors into every aspect of our work. Genentech is an equal opportunity employer, and we embrace the increasingly diverse world around us. Genentech prohibits unlawful discrimination based on race, color, religion, gender, interactionual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status.
For more information about equal employment opportunity, visit our Genentech Careers Homepage. If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.
