Here are sample job postings for Biostatistician roles...

Biostatistician I - Population Health Science & Policy

Mount Sinai

New York, NY

Roles & Responsibilities:

The Biostatistician I is responsible for providing statistical support, including study design, sample size and protocol development in support of clinical projects. Prepares statistical analysis plans, generates statistical summary tables and performs database integration for more comprehensive analyses.

  • Prepares statistical analysis plans, timelines for statistical project management and performs and interprets basic and complex analyses. Utilizes knowledge of statistics and medical understanding to propose and perform additional analyses when appropriate.
  • Documents analyses, creates summaries and presents written and verbal results to requestors.
  • Writes statistical text for study reports and clinical publications. Prepares analysis plans and methods used for incorporation in abstracts, manuscripts and grants.
  • Identifies potential data problems from analytic queries and takes appropriate actions to guide the resolution process.
  • Collaborates with principal investigators, sponsors and external representatives to ensure that project results and conclusions are presented accurately and without bias and to jointly achieve objectives and timelines.
  • Provides quality review on statistical analysis plan to ensure consistency with protocol and adequacy to meet objectives defined in protocol.
  • Adheres to standard operating procedures of the functional department as they apply to documentation and validation of clinical research statistics.
  • Provides consultation to the clinical research project team on statistical issues related to the project.
  • Collaborates with statistical programmers that support clinical projects to identify potential data problems from analytic queries and to take appropriate action to guide the resolution process.
  • Performs other related duties as assigned.


  • Bachelor's degree in statistics, biostatistics or a related quantitative field is required.
  • Excellent written, oral and interpersonal skills
  • Demonstrated analytical and problem solving skills
  • Excellent organizational skills
  • Detail-Oriented
  • 1 year of biostatistics or related experience in clinical research preferred. Advanced level of experience in SAS, R or similar application.


Vanderbilt Memory and Alzheimer's Center

Nashville, TN•Remote

In this Biostatistician role, your responsibilities will vary based on collaborations. As a member of a research team with modest supervision, you will apply complex data management and a variety of intermediate and advanced statistical techniques and technical skills to promote the collection, analysis, and interpretation of data arising from research studies in an academic research program.

This role supports the Vanderbilt Memory and Alzheimer's Center and will focus on Alzheimer's disease and cognitive aging.

Key Responsibilities

  • Assists the research team in the design of research studies, specification of hypotheses and basic study design, and development of operations and procedures for data management as it relates to Alzheimer's disease and cognitive aging.
  • Collaborates on preparation of statistical analysis plans for research studies.
  • As part of the research team, performs data management tasks including dataset creation, cleaning, and verification and/or assists in directing the work of technical staff responsible for data management tasks.
  • Implement analysis plan using a variety of statistical methods and technical skills to analyze and interpret data.
  • Participates in more complex statistical methods to analyze and interpret data.
  • In the context of the broader program of research, completes tasks according to set milestones.
  • As part of the research team, meets and presents analyses to collaborators as needed. Communicates logistical considerations for successful task processing.
  • Collaborates in the preparation of written reports and oral presentations.
  • Participates in the publication of research projects.
  • Engage in continual learning and develop content area knowledge in their work areas.
  • The responsibilities listed are a general overview of the position and additional duties may be assigned

The Department of Biostatistics, founded in 2003, is currently home to 52 faculty members and nearly 60 staff biostatisticians, bioinformaticians, data scientists, analysts, and application developers. It is a supportive community that celebrates teamwork across many areas of expertise. The department places a strong emphasis on continuing education and professional development. Its members are expected to be at the forefront of biomedical research.

Biostatistician & Data Science Analyst 1- job post

Hospital for Special Surgery

New York, NY 10021

Now more than ever. Get back to what you need and love to do.The possibilities are endless...
Now more than ever, our guiding principles are helping us in our search for exceptional talent - candidates who align with our unique workplace culture and who want to maximizethe abundant opportunities for growth and success.
If this describes you then let’s talk!

HSS is consistently among the top-ranked hospitals for orthopedics and rheumatology by U.S. News & World Report. As a recipient of the Magnet Award for Nursing Excellence, HSS was the first hospital in New York City to receive the distinguished designation. Whether you are early in your career or an expert in your field, you will find HSS an innovative, supportive and inclusive environment.Working with colleagues who love what they do and are deeply committed to our Mission, you too can be part of our transformation across the enterprise

Job description: Biostatistician & Data Science Analyst I

The HSS Biostatistics Core provides comprehensive methodologic and analytic support to clinicians and basic scientists at Hospital for Special Surgery, in the area of musculoskeletal research. Under the direction of the Core Director, this analyst will provide study design and statistical analysis support for a variety of projects for the HSS Department of Medicine, a nationally and internationally recognized center for leading-edge musculoskeletal and rheumatologic care and research.

This role will contribute to the advancement of research with a multidisciplinary team of clinicians, scientists, engineers, and other statisticians to leverage unique healthcare data (in the form of medical images, clinical data, and beyond) and implementing appropriate study design, evaluation tools, and methods associated with various research projects. Additionally, this position will collaborate and advise faculty on the most appropriate statistical methods to apply to research design and outcomes analysis.
The analyst will also be responsible for helping to execute the Department’s Machine Learning strategy with the mission of creating new and improved methods for assessing and predicting disease outcomes and biology at Hospital for Special Surgery. The analyst will have opportunities for authorship on publications stemming from his/her work and will play a key role in producing and sharing the results the broader scientific community.

Essential Tasks/Responsibilities:

  • Assist in protocol development by implementing proper study design methodology, performing sample size and power calculations, and generating randomization schedules.
  • Make recommendations for appropriate statistical analyses and design to investigators and study team.
  • Perform statistical queries, analyses, and evaluation as assigned through the Biostatistics Core.
  • Develop robust algorithms and techniques using image analytics and deep learning across a variety of large and diverse medical image datasets for the purpose of developing ML models.
  • Responsible for accuracy and timeliness of summary reports, tables, and figures to investigators and study team.
  • Collaborate on grants, presentations and manuscripts submitted for publication, including writing methods sections and analysis plans for incorporation into protocol and grant submissions.
  • Contribute to teaching biostatistical methodology to medical students, residents, fellows, and other Hospital staff.
  • Stay informed of statistical techniques as applied to musculoskeletal research issues by reading journals and/or attending courses/programming meetings.
  • Collaborate with other members of the Core by suggesting changes or improvements to existing analytic code, study design protocols, and any proposed analytic methods.


  • Master's Degree in related field of epidemiology or biostatistics.
  • 1-2 years required (1-3 years preferred) of biostatistical consulting experience, either within the academic curriculum or as part of a consulting service unit.
  • Background in Machine Learning techniques and practical experience in evaluating the performance of ML algorithms on test and real clinical data.
  • Experience in musculoskeletal research is preferred.


  • SAS is the preferred statistical package within the HSS Biostatistics Core, but candidates with experience in other statistical packages (R, SPSS, Stata, Python) are encouraged to apply.
  • Intermediate proficiency in data preparation, machine learning and/or data science, descriptive analyses, comparative statistics, and advanced statistical modeling.
  • Possess the ability to facilitate the flow of information through effective written and oral communication.
  • Possess ability to interpret technical medical data and generate sound recommendations to support clinical research efforts.
  • Maintain ability to work independently and take responsibility for timeliness of analytic reports and other deliverables.
  • Demonstrate good organization skills, effective time management, and the ability to manage several concurrent tasks.
  • Maintain a team-oriented approach and possesses the ability to cultivate a positive and collegial workplace relationships – always demonstrating integrity and ethics.
  • Appreciate and understand the connection between individual goals, departmental goals, and the organizational mission – while continually seeking ways to improve personally and as a team.