Participate in clinical projects with external Pharma, academic and other partners
Represent the Outcomes Research function and collaborate with internal and external stakeholders in the design, analysis, interpretation and publication of clinical real world studies
Work on complex problems, exercising judgment in selecting and adapting methods as appropriate
Work with interdisciplinary groups of scientists, engineers, and product developers to translate research into clinically actionable insights for our clients
Stay current with the latest methodological advances in real world studies
Build infrastructure including reusable code
Comply with all applicable regulations and Company procedures

Requirements

Advanced degree (Masters with 5+ years of experience or PhD with 3+ years of experience) or Bachelor’s degree with 8+ years of experience in data science, bioinformatics, biostatistics, epidemiology, immunology, public health, or related fields.
Computational skills using Python, R or SAS and SQL, especially relevant statistical tools and packages
Strong data manipulation and analysis skills
Ability to tackle large, ambiguous problems
Strong communication and presentation skills
Self-starter
Familiarity with machine learning techniques and the advantages and disadvantages of different approaches, especially with respect to predictive and prognostic algorithms in medical research
Experience in cancer genetics, immunology, or molecular biology
Self-driven and works well in interdisciplinary teams
Collaborative mindset, an eagerness to learn and a high integrity work ethic
Sharp attention to detail and passion for delivering high quality and timely analytics deliverables
Able to effectively present research results to study team and other collaborators, including results interpretation and drawing appropriate inferences based on study design/statistical methods as well as assessment of study limitations.
Nice to have: Experience with version control and software testing
Experience with time to event analysis and methodology
Experience working in oncology Phase II-IV clinical trials and/or experience with the analysis of RWD studies (e.g. using claims, EHR or registry data sources)
Hands-on experience in helping to prepare regulatory submissions to the FDA
Experience supporting data science teams in model building and validation
Client facing or consulting experience and comfort with presenting results to stakeholders

Benefits

incentive compensation
restricted stock units
medical and other benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

data sciencebioinformaticsbiostatisticsepidemiologyimmunologypublic healthPythonRSASSQL

Soft skills

strong communication skillspresentation skillsself-startercollaborative mindseteagerness to learnhigh integrity work ethicattention to detailproblem-solvinginterdisciplinary teamworkability to tackle ambiguous problems

Certifications

advanced degreeMastersPhDBachelor's degree