100% Remote Principal NGS Bioinformatics Data Scientist needed for Series C - $130M Biotechnology company - 100% paid benefits, annual bonus, company stock/equity

This Jobot Job is hosted by Patrick Murray

Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume.

Salary $150,000 - $200,000 per year

A Bit About Us

Founded in 2015, we are a Series C Biotechnology company that has raised over $125M in funding and are becoming a world leader in precision oncology dedicated to transforming cancer care. Our team of scientists, engineers and problem-solvers are dedicated to helping healthcare providers to provide actionable insight to the lives of cancer patients.

We are currently looking to add a new Senior Computational Biologist / Bioinformatic Scientist to our growing engineering team. This person will be major contributor moving forward.

If you feel this position could be a fit, do not hesitate to apply today.

You will be part of a fast-growing company with a world class, disruptive Oncology product helping saves around the world. You will be joining a team of smart, fun, driven people, in a position with a lot of opportunity to learn and grow.

• Base Salary - $170,000-$190,000
• Annual Bonus
• Equity
• Work From Home
• Comprehensive Benefits Package
• Flexible Work Schedules
• Accelerated Career Growth
• Excellent PTO
• Full-Time Position, Stable/Growing Company
• Modern Environment
• State of the Art Technology

Job Details

Education/Experience

• PhD degree in Bioinformatics, Computational Biology, Cancer Biology, Computer Science, Mathematics, or related field.
• 3+ years’ work experience in biotech/pharma setting.
• Proficient in data manipulation and analysis with at least one scripting language (Python, R, etc…)
• Hands-on experience with AWS.

Preferred But Not Mandatory

• Experience working with clinical data.
• Experience in academic or commercial precision oncology settings.
• Knowledge of, and experience with, diagnostic testing, clinical study designs, biomarker data, statistical methods, adaptive designs, regulatory guidelines (such as CLIA/CAP and FDA).
• Hands-on scientific programming experience using Python.
• Strong statistical and/or machine learning background.
• Peer-reviewed publications in oncology, cancer biology, bioinformatics, precision medicine, or related domains.

Interested in hearing more? Easy Apply now by clicking the "Apply" button.