Bioinformatics Scientist, Translational Oncology
Sema4 is a patient-centered health intelligence company dedicated to advancing healthcare through data-driven insights. Sema4 is transforming healthcare by applying AI and machine learning to multidimensional, longitudinal clinical and genomic data to build dynamic models of human health and defining optimal, individualized health trajectories. Centrellis®, our innovative health intelligence platform, is enabling us to generate a more complete understanding of disease and wellness and to provide science-driven solutions to the most pressing medical needs. Sema4 believes that patients should be treated as partners, and that data should be shared for the benefit of all.
We are looking for a talented Bioinformatics Scientist, Translational Oncology to lead and support projects that translate genomic results and/or clinical EMR datasets into novel discoveries. You will aid in the design and development of Sema4’s databases and associated data analytics. This role will serve as a SME in genomics, cancer biology and clinical oncology.
- Lead translational research projects in collaboration with oncologists and basic scientists using Sema4’s unique data resources.
- Contribute to automated extraction of key data elements from EMR
- Ability to evaluate available literature and other data sources such ClinVar, cBioPortal, TCGA, NCBI, Ensembl, Broad FireHose, etc.
- Present research findings to stakeholders
- Publish novel findings in academic journals and present at conferences
- PhD in Bioinformatics, Biomedical Informatics, Computational Biology, Genomics, or a related discipline. We will also consider MDs with training in oncology and/or Biomedical Informatics.
- Minimum 2-3 years of Post-Doctoral or Industry experience.
- Strong computational and analytical skills.
- Deep understanding of genomics, cancer biology or clinical oncology. Experience in oncology is highly preferred.
- Excellent written and verbal communicator.
- Experience working on interdisciplinary teams that include scientists, programmers, and clinicians.
- Proficiency in one or more programming languages including Python, R and SQL; familiarity with Linux environments and exposure to cloud infrastructures such as AWS.
- Interest in data science and machine learning approaches to solving complex problems.
- Experience of developing and documenting high-quality code using version control tools (especially Git) and software issue tracking/management systems (especially Jira).
- Highly motivated, great ability to work independently or as part of a team.
- Track record of publishing high impact peer-reviewed research articles.