Scientist, Computational Biologist
Interline Therapeutics leverages capabilities in genomics, proteomics, structural biology, and computational chemistry to elucidate protein communities and develop new medicines that target key drivers of inflammation and cancer.
Interline is creating a culture centered around our dual commitments to patients and employees. We believe that if we prioritize science and innovation, empower one another, and have fun, we will significantly improve the lives of patients. We are growing a diverse and inclusive team with individuals that are action-oriented and united by common values.
We have an opportunity for a highly motivated Computational Biologist to develop and implement data integration, statistical modeling, and analysis strategies that contribute to our company's precision medicine platform and oncology programs.
This position is based in our South San Francisco offices, with the possibility to work remotely.
Key Responsibilities Include:
- As an integral member of program teams, guide the experimental design and data analysis of proteomics, transcriptomics, and other genome-scale experiments and facilitate the interpretation of research findings
- Identify publicly available relevant datasets and integrate these with results from in-house experiments to better understand how protein communities cooperate and become dysregulated in cancer
- Contribute to the understanding of drug target / drug discovery program biology, including the impact of disease-associated genetic variants and characterization of the mechanism of action of drug candidates
- Develop custom analysis and visualization tools that enrich the company's integrative informatics platform and help enable access for internal scientists and collaborators
- PhD in Bioinformatics, Biostatistics, Computational Biology or relevant field; proven track-record of scientific achievement as evidenced by publication and/or patent record.
- Extensive experience with bioinformatics pipelines for DNA and/or RNA next-generation sequence analysis
- Familiarity with mutation analysis, functional genomics, and/or MS proteomics analysis is desirable
- Working proficiency in UNIX/Linux and R or Python, including in-depth knowledge of commonly used Bioinformatics packages
- Experience with integrative computational biology projects and a passion for the biology of cancer would be considered a significant advantage
- Strong communication and data visualization skills
- A desire and flexibility to work within a dynamic multidisciplinary team environment
All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or disability