Senior/Staff Computational Biologist, Proteomics Assay Research

About Freenome 

Freenome is a high-growth biotech company on a mission since 2014 to create tools that empower everyone to prevent, detect, and treat their disease.  To achieve this mission, Freenome is developing next-generation blood tests to detect cancer in its earliest, most treatable stages using our multiomics platform and machine learning techniques. Our first blood test will detect early-stage colorectal cancer and advanced adenomas.

About the Role

As a Senior/Staff Computational Biologist dedicated to Assay Research in Proteomics, you will create and customize computational strategies that enable experimental methods for innovative protein biomarker discovery (including, but not limited to, mass spectrometry and immunoaffinity methods). You will leverage expertise in analytics and computational methods, coupled to a strong foundation in data-acquisition and wet lab techniques, to understand and improve assays relevant to characterizing protein signatures for the early detection of cancer. 

This strategy can include innovative data analysis pipelines, identification of unique protein features with a focus on functional information, and evaluation of emergent technologies that have the potential to improve our diagnostic tests. You will work closely with wet lab scientists, machine learning scientists, and other computational biologists to drive the iteration of proteomics assays while ultimately developing clinical assays that save patient lives.

Your contribution:

• Collaborate with wet-lab scientists to rapidly develop and optimize novel or existing experimental methods by analyzing data, generating hypotheses, and contributing to experimental design. 
• Operate at the forefront of proteomics characterization techniques requiring mass spectrometry data generation (including DDA, DIA, PTMs, AP-MS) as well as immunoassays (ELISA, Olink, Luminex, MSD, flow cytometry).
• Develop new bioinformatics pipelines and computational tools to extract actionable information from high-throughput proteomics datasets.
• Implement quality control metrics to monitor assay performance, overcome preanalytical batch effects, and enable longitudinal proteomics studies.

Your background, perspective and experience: 

• PhD or equivalent experience in a relevant field such as biochemistry, chemistry, computational biology, or bioinformatics.
• 3+ years post-PhD experience in proteomics assay development or bioinformatics for biomarker discovery (diagnostics, pharmaceutical, or other biotechnology experience preferred, especially in the context of cancer biology).
• Expertise in computational analysis of mass spectrometry-based proteomic datasets, as well as the tools and databases used to derive technical and biological insights. Experience in proteomic biomarker discovery a plus.
• Strong computational and programming skills, including experience with Python or R statistical packages (Numpy, Matplotlib, Pandas) in a Linux working environment. Familiarity with cloud computing principles a plus.
• Strong quantitative reasoning and statistical analysis skills, with a demonstrated ability to apply them effectively to relevant scientific problems.
• Excellent oral and written communication skills to communicate to both scientific and broader audiences.
• Ability to work on a cross-functional team in a highly collaborative environment, working with both computational and experimental scientists.

COVID safety:

As a condition of employment, you agree to know and comply with our COVID-19 vaccination policy requiring all employees who work on-site and/or attend work-related events to be fully vaccinated and to receive a COVID-19 booster once eligible. Company employees working on-site are required to be fully vaccinated for COVID-19 and to receive a COVID-19 booster once eligible, unless a reasonable accommodation is approved or as otherwise required by law. Absent a reasonable accommodation or legal exception, you agree to provide proof of your vaccination status and to be fully vaccinated by your first day on-site, in accordance with our policy.  If you are currently eligible for a COVID-19 booster, you also agree to provide proof of having received a booster.  If you are not yet eligible for a COVID-19 booster, you must provide proof of receiving a booster within two weeks of becoming eligible.

Freenome is proud to be an equal opportunity employer and we value diversity. Freenome does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Funding

We have raised more than $1.1B from leading investors including Perceptive Advisors, RA Capital Management, Roche Venture Fund, Kaiser Permanente, Novartis and the American Cancer Society’s BrightEdge Ventures. 

Freenomers

A ‘Freenomer’ is a mission-driven employee who is fueled by the opportunity to make a positive impact on patients' lives, who thrives in a culture of respect and cross collaboration, and whose work makes a significant impact on the company and their career. 

Freenomers are technical, creative, visionary, grounded, empathetic and passionate. We build teams around divergent expertise, allowing us to solve problems and ascertain opportunities in unique ways. Freenomers are some of the most talented experts in their fields, joining together to advance healthcare, one breakthrough at a time. 

Benefits include but are not limited to:

• Competitive compensation 
• Pre-IPO equity
• Flexible PTO (exempt) and generous PTO (non-exempt) 
• Comprehensive health coverage, including medical, dental, and vision 
• Wellness and mental health resources, including Employee Assistance Programs (EAPs), Paid maternity and paternity leave
• 401(k) plan 
• $250.00 new hire stipend to enhance your home office experience
• Plus, a variety of other perks, including pre-tax commuter benefits, two paid volunteer days per year, pet insurance, and additional discounts 

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Applicants have rights under Federal Employment Laws.  

• Family & Medical Leave Act (FMLA)

• Equal Employment Opportunity (EEO)

• Employee Polygraph Protection Act (EPPA)

Notice to agencies:

Our in-house Talent Acquisition Team manages all employment opportunities at Freenome.  Agencies and independent recruiters must be approved as a vendor by Freenome’s Talent Acquisition team before submitting candidates to any Freenome employee. 

We do not accept unsolicited resumes or biographies from agencies under any circumstances. Any unsolicited resumes sent to Freenome, including those sent to a Freenome email address or directly to Freenome employees, will be considered Freenome property. Freenome will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. Freenome will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees. 

Please do not contact Freenome employees directly. Compliance with this request will impact our decision to work with you. 

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