Here are sample job advertisements for these type of roles:
Manager Biomarker Statistics, Oncology
The successful candidate will serve as an expert statistical leader in the Oncology Biomarker Statistics team and will have the opportunity to be closely engaged and significantly influence the translational medicine efforts and companion diagnostic development.
Key Responsibilities include, but are not limited to:
- Provide high quality and timely support for the various biomarker projects across all phases of drug development pipeline in collaboration with other functional area scientists.
- Embrace and consider a wide variety of classical and modern data analytic methods and solutions. Propose and implement optimal and fit-for-purpose statistical and computational solutions for various biomarker studies.
- Proactively give and receive feedback on the projects supported by all members of the Biomarker Statistics team to ensure high quality statistical contributions for biomarker needs in the drug development pipeline.
- Develop and automate statistical analysis and visualization tools for scientists and other statisticians.
- Stay current with ongoing external research and literature on statistical methods and biomarker applications, maintain proficiency in applying a variety of classical and modern statistical methods and machine learning algorithms, and be competent in explaining and justifying the methods used.
- Develop new statistical methods and machine learning algorithms for research topics of greatest need and stay active in the external scientific community via conference presentations, publications and collaborations.
The ideal candidate will possess:
- Experience with a wide variety of biomarker data such as genomics, proteomics and imaging from various traditional and cutting-edge analytical platforms and demonstrated expertise in applying sound computational and statistical approaches for processing and analyzing data from these platforms.
- Keen interest in learning the scientific and technological elements of the projects.
- Demonstrated ability to proactively contribute to the project strategy and decisions beyond the core statistical elements.
- An analytical and inquisitive mind with a proven track record for problem solving.
- A proven ability to build effective and trusting relationships with members of interdisciplinary matrix teams.
- A proven ability to build networks within and outside the company and use these relationships to achieve support for the planning and implementation of innovative approaches.
Requirements:
PhD in statistics or related field with at least 5 years of relevant pharmaceutical research experience with high-dimensional biomarker data from all phases of clinical trials, or Masters in statistics or related field with at least 10 years of relevant experience.
Strong statistical foundation with a wide breadth expertise in classical and modern statistical and machine learning methods.
Demonstrated ability to apply innovative and fit-for-purpose statistical methods to the analysis of biomarker and high dimensional data from clinical trials.
Strong programming skills in R, Python and Perl, with demonstrated ability to develop and automate analysis scripts and tools for broader use.
Excellent interpersonal and communication skills, with a proven track record of building and maintaining strong working relationships.
A demonstrated ability to explain novel and standard methods to scientific and clinical colleagues.
Preferred:
Background in biological sciences, bioinformatics and computational biology.
Strong track record of methodological and applied research, conference presentations and publications.
Experience in applying Bayesian statistical methods in biomarker applications.
Prior experience in oncology research projects and drug development.
Programming experience in other languages such as Python, Perl, SAS, etc.
Good understanding of drug development processes and strategies, with proven ability to apply innovative statistical thinking to meet project and business objectives.
Experience providing statistical support for the development of companion diagnostics.
Job Type: Full-time
Salary: $150,000.00 to $170,000.00 /year
Xator seeks enthusiastic, positive, and proactive self-starters to join our team. Our leadership aims to attract and retain the best and brightest employees, maintain an environment built on trust and pride, and encourage individual and team achievements. We uphold ourselves to an exceptional professional standard of conduct, setting ourselves apart from our competition.
Xator is dedicated to creating and maintaining a lifelong learning environment. We encourage forward-thinking, innovation, and out-of-the-box ideas in an inclusive environment. Our training and continuing education programs allows us to constantly improve services and deliver innovation to our customers. We invest in our employees and they, in turn, advance our clients’ mission.
Clearance Requirement: Active or Current TS/SCI clearance; willingness to take a polygraph exam
POSITION OVERVIEW: The Statistician/Mathematician will develop and apply fundamental mathematics and mathematical or statistical theory to collect, organize, interpret, and summarize illicit finance and other data to advance analytic impact for counter narcotic missions. They will validate the information and apply client tradecraft as you build theories to validate analytic assessments throughout the intelligence cycle for senior policymakers. leverage expertise in mathematics and statistical methodologies, tools, and databases to assist with the development of analysis informing senior policymakers and DoD officials of military capabilities, political-military issues and military strategies, and the doctrine and intent of the specified client area of responsibility (AOR). You’ll develop and maintain expertise in mathematical and statistical theories to enable modernization of analytic processes and develop more efficient and automated methods for the processing of data.
Required Qualifications:
- 5+ years of experience with the development and application of mathematical and statistical theories and problem-sets
- Experience with designing complex metrics projects that apply valid scientific techniques for the processing of data
- Experience with tools and methods, including Regression Analysis, Stata, R, Python, SPSS, or Data Modeling
- Knowledge of the intelligence community (IC) and Combatant Command environments
- Ability to produce high-quality written deliverables within a short time frame
- Active TS/SCI clearance; willingness to take a polygraph exam
- BA or BS degree
Additional Qualifications:
- Possession of excellent oral and written communication skills
- TS/SCI clearance with a polygraph
- MA or MS degree in Intelligence Studies or Analysis, Strategic Intelligence, or a related field
Job Summary:
Responsibilities :
- Contribute to clinical development plan preparation;
- Review of study protocol and preparation of statistical methodologies;
- Development of detailed Medpace Data Analysis Plan for assigned projects;
- Programming of study analysis, review of study results and preparation of statistical methods section for clinical/statistical reports;
- Communicate project requirements for CRF design, database design and database cleanup to ensure the key study variables are suitable for analysis; and
- Communicate statistical results to medical writing personnel to ensure accurate interpretation.
- Supervise/manage 5-10 Biostatisticians and/or Statistical Analysts
Qualifications
- PhD in Biostatistics/Statistics preferred;
- 5-10 years pharmaceutical clinical trials experiences, CRO preferred; and
- Excellent analytical, written, and oral communication skills.
- Previous supervisory experience is preferred.
Why Medpace?:
- Medpace historically named a Top Cincinnati Workplace by the Cincinnati Enquirer
- Medpace ranks amongst top CROs for site ratings across all 10 important attributes including CRA training, preparation & organization, accessibility of staff, open communication, and ensuring timely drug availability
- Continually recognized with CRO Leadership Awards from Life Science Leader magazine based on expertise, quality, capabilities, reliability, and compatibility
Based in Las Vegas, LV. We are a fast-growing and established gaming solutions company that is revolutionizing the gaming industry as we know it! We are opening a brand new office in Las Vegas with established teams in every department and looking to add a Mathematician to our growing team.
Why join us?
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Competitive Base Salary!
Flexible Work Schedules!
Accelerated Career Growth!
Job Details
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Is your background a fit? Apply if you meet this criteria:
Bachelor’s or higher degree in Mathematics combined with 6+ years of appropriate experience
Expert level Excel experience
Strong expertise in Combinatorics, Probability Theory and Statistics
Strong expertise in Game Theory/Operations Theory
Outstanding data analysis and presentation skills
Ability to create well-structured, well-documented, maintainable programs in C#
Experience with generating mathematical formulae for various games of chance
A long-standing passion for playing games of multiple genres and interest in casino games.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Participate in and contribute to the game design and invention process
Develop and generate math models that represent win probabilities and mathematical return of games
Exercise discretion and independent judgment creating new math designs based on given game rules to achieve targets for game play feel
Have meticulous attention to detail to achieve optimal designs, including math models, game logic, par sheets and customer-facing communication
Generate, with software, simulations of certain games of chance for which math models have been designed
Test mathematical outcomes using Monte Carlo scenarios to assure quality and accurate calculations are achieved
Analyze performance data from live games to help identify better math profiles for the studied games
Develop and generate theoretical par sheets demonstrating game probabilities and mathematical payouts via calculation
Preparation of documentation for regulatory submissions
You will partner with the RU head in clinical development to fully understand the strategic objectives, science and rationale of novel immune-oncology targets with various pathways. Leveraging your statistical expertise, you will identify the opportunities implement or apply novel statistical methodologies unique to immune-oncology assets, and establish the reputation both domestically and internationally as a thought leader in statistics. You will also be a people leader who is able to build, lead and develop a team of statistical experts.
GSK Oncology has a commitment to the discovery and development of new oncology therapies with the life-changing potential of helping patients with cancer, specifically in four areas of cancer research: Cancer Epigenetics, Immuno-Oncology, Oncology Cell & Gene Therapy and Synthetic Lethality.
Key Responsibilities include:
- Set and lead the biostatistical strategy and technical expertise for the immune-oncology & combinations (IOC) research unit, including opportunities for innovation and continuous improvement
- Partner with RU head in clinical development, as well as other supporting functions to understand and align the strategic objectives of the multi-generation IO assets and potential opportunities for drug combinations.
- Build a matrix team of statisticians to support clinical development in novel assets with the primary focus on immune-oncology, with the appetite for innovation, development of technical capabilities, as well as behavioral and communication skills to meet the RU objectives
- Understand and educate the IOC biostatistics organization about the science and rationale behind the novel IO assets with various newly identified targets
- Drive the quantitative decision-making principles/process to inform smart risk-taking drug development
- Contribute to and influence the strategic direction of the asset development and regulatory submission via rigorous and robust statistical knowledge
- Ensure state-of-the-art expertise on all methodological aspects of drug development in statistics
- Partners with counterparts in the Programming organization to ensure high-quality execution of all trial analyses and submissions, planning the resource strategy, with accountability for budget, quality and CRO oversight
- Prioritize the acquisition, retention and development of key talents
- Serve as a member of the Oncology Biostatistics Leadership Team.
Why You?
Basic Qualifications:
- Masters Degree in Statistics or closely related field
- 10+ years experience in the pharmaceutical industry
- 5+ years experience supporting oncology from a statistical perspective
- 5 years experience as a people leader
- Knowledge/understanding of clinical development process through commercialization
Preferred Experience or Qualifications:
- PhD in Statistics or closely related field
- Familiar with the statistical methodology either emerging or implemented in the IO research in order to maximize the program success.
- Ability to drive and influence strategic direction
- Exceptional capability to influence leadership.
- Familiarity with regulatory interactions and pathways.
- Adept at:
- Embedding talent management throughout the team
- Provide constructive feedback to enable team members to perform to their optimum
- Create and lead an empowered, motivated team where diversity of thought is encouraged.
- Track record of strong statistical contributions and accomplishments in clinical drug development, with a broad knowledge of all phases of drug development (pre-clinical; Phase I-IV).
- Demonstrated ability to lead or make major contributions to department, organizational and/or industry-wide initiatives, through effective communication and influence.
- Expertise in a range of statistical methodologies with application to real problems
- Examples of applying innovative statistical thinking
Why GSK?
Our values and expectations are at the heart of everything we do and form an important part of our culture. These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities:
- Operating at pace and agile decision-making – using evidence and applying judgement to balance pace, rigor and risk.
- Committed to delivering high quality results, overcoming challenges, focusing on what matters, execution.
- Continuously looking for opportunities to learn, build skills and share learning.
- Sustaining energy and well-being.
- Building strong relationships and collaboration, honest and open conversations.
- Budgeting and cost-consciousness.
Operational Intelligence is searching for a Statistician/Mathematician to support a DoD customer at Joint Base Anacostia-Bolling in DC.
As a Statistician and Mathematician you will develop and apply fundamental mathematics and mathematical or statistical theory to collect, organize, interpret, and summarize illicit finance and other data to advance analytic impact for counter narcotic missions. You’ll validate the information and apply client tradecraft as you build theories to validate analytic assessments throughout the intelligence cycle for senior policymakers. Leverage expertise in mathematics and statistical methodologies, tools, and databases to assist with the development of analysis informing senior policymakers and DoD officials of military capabilities, political-military issues and military strategies, and the doctrine and intent of the specified client area of responsibility (AOR). You’ll develop and maintain expertise in mathematical and statistical theories to enable modernization of analytic processes and develop more efficient and automated methods for the processing of data.
- 5+ years of experience with the development and application of mathematical and statistical theories and problem-sets
- Experience with designing complex metrics projects that apply valid scientific techniques for the processing of data
- Experience with tools and methods, including Regression Analysis, Stata, R, Python, SPSS, or Data Modeling
- Knowledge of the intelligence community (IC) and Combatant Command environments
- Ability to produce high-quality written deliverables within a short time frame
- Active TS/SCI clearance; willingness to take a polygraph exam
- BA or BS degree
- Protocols: Directs the development of statistical designs and analysis procedures for scientific protocols, ensuring they are scientifically sound, aligned with project strategy, meet regulatory objectives and make optimal use of the data to be collected. Ensure statistical analysis plan is methodologically sound and consistent with objectives of the protocol. Develop project and functional standards of data collection and analysis, and implement these standards.
- Database Activities: Collaborate with Data Sciences, Statistical Programming and other stakeholders to ensure data collection instruments and database implementation meets short and long-term project needs. Guide development and implementation of project-specific data standards. Guide and ensure timely execution of all database-related DSS activities for project.
- Statistical Analyses: Demonstrate excellent understanding of statistical concepts and methodology. Propose novel statistical methodological approaches leading to improvements in the efficiency and sensitivity of study results. Provide sufficient detail to allow programming implementation. Ensure that all statistical analyses specified in scientific protocols and analysis plans are conducted appropriately. Determine need for development of novel statistical methodology.
- Reports and Publications: Ensure that study results and conclusions are scientifically sound, clearly presented, and supported by statistical analyses. Prepare oral and written reports to communicate results. Represent Data and Statistical Sciences on project issues at management review and project team meetings. Provide in-depth statistical review for scientific reports and publications. Ensure the accuracy of the statistical component of scientific reports and publications with high quality.
- Consultation: Interact with stakeholders so that appropriate statistical methods are adequately and consistently applied in deliverables. Provide statistical insight in addressing questions. Propose novel solutions to technical issues. Independently pursue analyses suggested by data, including the pursuit of statistical knowledge needed.
- External Engagement: Act as the liaison for statistical and operational issues on AbbVie collaborative studies with outside universities, government agencies, steering and/or data monitoring committees, joint ventures, CROs, temporary staff or licensing activities. Build external scientific contacts which foster professional development and promote the reputation of the department. Works with Director to build relationships between department and outside investigators and medical/scientific exp
- Project Team Involvement: Partner with Clinical and Regulatory to create development strategies. Represent DSS on project team(s) to provide statistical input to compound/drug development and align with DSS management. Lead communication between assigned project team(s) and DSS to ensure timely communication, proper strategies, and alignment of decisions/priorities between project team and DSS management. May represent DSS on data monitoring committees. Build interdepartmental relationships.
- Training and Supervising: Train and mentor staff on statistical methodology and operations. Develop and supervise seminars, short courses and publications. Gain expertise in innovative statistical methods. Along with functional leaders, manage statistical resources (Including CROs) to meet project priorities. Recruit qualified personnel and arrange training for professional development of staff. People managers will manage 2 or more direct reports.
- Regulatory Activities: Work with Director to ensure that development programs incorporate sufficient statistical rigor and quality to meet global regulatory requirements. Critically review regulatory submission documents. Ensure appropriate functional representation at regulatory agency and advisory committee meetings. Ensure all applicable regulatory requirements for work processes are met. Ensure validation of statistical software to meet SOPs and regulatory requirements.
- Compliance: Compliant with applicable corporate and divisional policies, procedures and cultural values. Maintain up-to-date knowledge of Standard Operating Procedures and working practices relevant to managers and the Statistics function. Ensure compliance with department standards, GxP and best operating practices for staff and self. Complete all assigned training on time.
- MS (with a minimum of 12 years of experience) or PhD (with a minimum of 8 years of experience) in Statistics, Biostatistics, or a highly related field.
- Excellent English communication skills, both oral and written.
- Advanced knowledge of statistical methodology including experimental design, descriptive statistics, inferential statistics, statistical modeling, and statistical programming. Must have demonstrated exemplary statistical experience in managing and completing multiple projects or equivalent experience.
- At least 12 years (MS) or 8 years (PhD) of experience in pharmaceutical development. Experience in leading NDA, BLA, and or CTD submission preferred (for clinical statistics only). Understanding of and global regulatory requirements. Experience interacting with regulatory agencies highly desirable.
- Management experience required for people managers.
Work as a scientific programmer on a fast-paced research and development team on spectral and motion imagery systems addressing image collection, characterization, and exploitation problems. Apply remote sensing principles and methods to analyze data and solve problems, including automating data analysis using machine learning, characterize existing and new sensor systems, develop new and improve data analysis techniques, and propose collection strategies to address new signature development. Support informational briefings for educating scientists and managers on research outcomes and the impact on the mission. Apply spatial temporal statistical methods to aggregate and classify objects in data from multiple sources and with varying degrees of confidence. Adapt existing approaches and develop new algorithms that combine the data and support hypotheses and decisions.
Basic Qualifications
- 10+ years of experience with spatial statistics
- Experience with spatial statistics and temporal analysis
- Experience with implementing hierarchical thinking models and conditional thinking models
- Experience with programming in MATLAB and tool development in Python
- Knowledge of object detection and image segmentation methods
- TS/SCI clearance required
- BA or BS degree required
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
We’re an EOE that empowers our people—no matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, veteran status, or other protected characteristic—to fearlessly drive change.
SERIES & GRADE: GS-11/12
AGENCY MARKETING STATEMENT:
The Centers for Disease Control and Prevention (CDC) is the agency Americans trust with their lives. As a global leader in public health, CDC is the nation’s premier health promotion, prevention, and preparedness agency. Whether we are protecting the American people from public health threats, researching emerging diseases, or mobilizing public health programs with our domestic and international partners, we rely on our employees to make a real difference in the health and well-being of people here and around the world. This position is located in the Department of Health and Human Services (DHHS), Centers for Disease Control and Prevention (CDC), National Center for Health Statistics (NCHS), in Hyattsville, MD. and RTP-Durham, NC. Salaries:
Hyattsville, MD: $72,030 to $112,240, RTP/Durham, NC: $66,515 to $103,647 CDC is an Equal Opportunity Employer.
JOB SUMMARY:
Incumbent performs assignments in support of statistical research studies which are focused on the causes, incidence and cost of accidents, disease and disabling illness. Assignments, which may either cover recurring or continuing studies or relate to special investigations, are characteristically clearly defined units or parts of major projects assigned higher-graded statisticians.
DUTIES:
[
“As a Statistician (Health) (Direct Hire), you will: Develop specifications for and monitors data tabulations ensuring accuracy and quality of data. Develop the analytical plan incorporating appropriate statistical methods and techniques, executes the analysis of data, and interprets results. Responsible for ensuring the statistical validity of study activities by solving problems occurring in the data collection process or analysis of data. Prepare comprehensive reports of study results and disseminates results of research projects in a wide range of venues including publications, peer reviewed journals, summaries, manuscripts, and special reports. Develop and implements methods and procedures for the collection, processing, editing and analysis of data. Provide technical leadership, consultation, and advice on statistical analysis and methods, and techniques of assigned studies. Performs other duties as assigned.” ]
REQUIREMENTS:
US Citizenship is required. Background Investigation is required. E-Verify: If you are selected for this position, the documentation that you present for purposes of completing the Department of Homeland Security (DHS) Form I-9 will be verified through the DHS “E-Verify” System. Federal law requires DHS to use the E-Verify System to verify employment eligibility of all new hires, and as a condition of continued employment obligates the new hire to take affirmative steps to resolve any discrepancies identified by the system. The U.S. Department of Health and Human Services is an E-Verify Participant. Direct Deposit: All Federal employees are required to have Federal salary payments made by direct deposit to a financial institution of their choosing. All qualification requirements must be met by the closing date of the announcement. One-year probationary period may be required. Travel, transportation, and moving expenses will be paid: No Bargaining Unit Position: Yes Drug Screening Required: No Recruitment Incentive may be authorized: No Annual Leave for non-federal service may be authorized: No Research position: No Promotion potential: Yes. This position has promotion potential to GS-12. Promotion to the next grade level is at management’s discretion and is based on your meeting qualifications and time-in-grade requirements, demonstrated ability to perform the higher level duties, the continuing need for the higher level duties, and administrative approval. Promotion to the next grade level is not guaranteed and no promise of promotion is implied. Supervisory position: No Position Sensitivity: 1-Nonsensitive to 5-Public Trust/Moderate based on work assignment.
QUALIFICATIONS REQUIRED:
Basic Qualifications: A. Applicants must have successfully completed a full four-year course of study at an accredited college or university leading to a bachelor’s or higher degree that includes 15 semester hours in statistics (or in math and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical/biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc.
OR B. Have a combination of education and experience – courses as described in “A” above, plus appropriate experience or additional education. The experience should have included a full range of professional statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance. In addition to meeting the basic qualifications requirement, applicants must meet the specialized experience as stated below. Minimum Qualifications GS-11: Applicants must have at least one year of specialized experience at or equivalent to the GS-09 in the Federal service as defined in the next paragraph. Specialized Experience: Specialized experience is experience which is directly related to the position which has equipped the applicant with the particular knowledge, skills and abilities (KSAs) to successfully perform the duties of the position to include experience assisting in the implementation of data collection systems; producing and documenting analytic data files; and/or conducting basic statistical analyses of population, clinical, health, or administrative data. OR Have completed 3 years of progressively higher level graduate education leading to a Ph.D. degree or Ph.D. or equivalent doctoral degree. OR Have a combination of graduate level education and experience that meets 100% of the qualification requirements for this position. Minimum Qualifications GS-12: Applicants must have at least one year of specialized experience at or equivalent to the GS-11 in the Federal service as defined in the next paragraph. Specialized Experience: Specialized experience is experience which is directly related to the position which has equipped the applicant with the particular knowledge, skills and abilities (KSAs) to successfully perform the duties of the position to include experience planning and conducting data collections such as surveys; planning, producing and documenting analytic data files; conducting data quality evaluations and documenting the results of these evaluations; and/or designing and conducting statistical analyses of population, clinical, health, or administrative data related to health topics for publication.