Our new venture is on a mission to transform healthcare by developing a deep, personalized, and data-driven understanding of age-related diseases. Our analytics platform has been developed through years of research by the Wyss-Coray lab at Stanford University on how the body changes molecularly with aging and disease. Our core focus is developing machine learning models to predict and understand the aging of major tissues using minimally invasive blood tests. Our preliminary models are remarkably good at measuring the health of organs and predicting future decline and disease progression.
Our Bioinformatics position is an exciting opportunity to join us at the earliest stage and to play a key role in shaping the future of our product, business, and culture. Your primary focus will be to apply modern machine learning and data science to further develop our diagnostics and analytics using plasma proteomics data. You will work with a team of leading scientists to build new capabilities that power better healthcare.
This role will be core to our product development and you will play a key role in executing R&D and commercial initiatives while working in an exciting, fast-paced startup environment. We are looking for a highly motivated and creative individual capable of critically analyzing, interpreting, and integrating biological data from a variety of sources to drive better healthcare.
We have an opportunity to reshape how healthcare understands aging and develops treatments for degenerative diseases. If you have a passion for this mission we would love to meet you! Industry-competitive pay and benefits commensurate with experience provided.
- Develop robust analytic tools and machine learning models from proteomics data using modern data science and machine learning techniques.
- Use machine learning, biostatistics, and bioinformatics approaches to integrate multiple levels of biological information together with proteomics data.
- Provide clear interpretation of proteomics data and develop pathways for further computational and biological validation.
- Think creatively to solve scientific problems. Propose and execute practical ideas aligned with our mission and strategy.
- Keep up to date on new data science methodologies and incorporate into internal R&D as appropriate. Keep current on literature related to your field.
- Work collaboratively with our growing team and scientific advisors to expand our analytics capabilities.
- Communicate in a clear and professional manner, both in writing and orally.
- Bachelor’s degree in Bioinformatics, Molecular Biology, Data Science, Computer Science, or a related field required. Master’s or PhD degree is preferred.
- 2+ years of industry experience in a computational research role in biotech/pharmaceutical/academic lab is preferred.
- Excellent interpersonal skills and the ability to work effectively with a team is required.
- Experience with ‘Omics’ or similar large-scale data analysis is required, experience with proteomics and RNA-seq data is preferred.
- Fluency in R, Python, or Matlab is required.
- Experience with machine learning techniques required.
- Experience with large scale data processing, integration and meta-analysis is preferred.
- Experience collaborating with external partners (e.g. contract research organizations and academics) is preferred.
- Ability to interpret, troubleshoot and report on complex data is required.
- Ability to effectively present scientific data and concepts to international standards is required.
- Strong organizational skills including the ability to handle several projects at a time is required.
Our company is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Please send a resume and short cover letter to: firstname.lastname@example.org]
Include in subject line “Bioinformatics role”