Senior Manager, Computational Proteomics Research
Why join Freenome?
Freenome is a high-growth biotech company developing tests to detect cancer using a standard blood draw. To do this, Freenome uses a multiomics platform that combines tumor and non-tumor signals with machine learning to find cancer in its earliest, most-treatable stages.
Cancer is relentless. This is why Freenome is building the clinical, economic, and operational evidence to drive cancer screening and save lives. Our first screening test is for colorectal cancer (CRC) and advanced adenomas, and it’s just the beginning.
Founded in 2014, Freenome has ~500 employees and more than $1.1B in funding from key investors, such as the American Cancer Society, Andreessen Horowitz, Anthem Blue Cross, Bain Capital, Colorectal Cancer Alliance, DCVC, Fidelity, Google Ventures, Kaiser Permanente, Novartis, Perceptive Advisors, RA Capital, Roche, Sands Capital, T. Rowe Price, and Verily.
At Freenome, we aim to impact patients by empowering everyone to prevent, detect, and treat their disease. This, together with our high-performing culture of respect and cross-collaboration, is what motivates us to make every day count.
Become a Freenomer
Do you have what it takes to be a Freenomer? A “Freenomer” is a determined, mission-driven, results-oriented employee fueled by the opportunity to change the landscape of cancer and make a positive impact on patients’ lives. Freenomers bring their diverse experience, expertise, and personal perspective to solve problems and push to achieve what’s possible, one breakthrough at a time.
About this opportunity:
As a Senior Manager, Computational Proteomics Research in the Computational Biology group at Freenome, you will play a key role in advancing the company’s mission to detect cancer early via cutting-edge, non-invasive multiomics tests. You are a strong technical team leader with an outstanding record of scientific achievement both as a manager and individual contributor. You will apply both your scientific expertise and leadership skills to mentor and grow a team that will work closely with Molecular Research scientists to design, execute, and analyze experiments identifying new protein and peptide biomarkers of disease.
Via regular literature review and conference attendance, you and your team will keep abreast of the state of the art in computational proteomics and identify novel research avenues and opportunities. Finally, you will collaborate with a multi-disciplinary, multi-analyte scientific and engineering team to help translate the results of your work into Freenome’s portfolio of diagnostic products.
What you’ll do:
- Lead and support the growth of the Computational Proteomics team in contributing to the development of Freenome’s proteomics discovery platform
- Contribute to the design of experiments at the forefront of protein characterization techniques including mass spectrometry data generation (including DDA, DIA, PTMs, AP-MS) and immunoassays and protein display technologies (ELISA, Olink, Luminex, MSD, flow cytometry)
- In collaboration with your team, design studies and execute analyses focused on discovering novel protein and peptide-based biomarkers
- Develop new bioinformatics pipelines and computational tools to extract actionable information from high-throughput datasets
- Partner cross-functionally with computational and wet-lab scientific leaders at Freenome to develop a multiomic scientific roadmap and research strategy
- Inspire a culture of scientific innovation, focused on translating discoveries into high-impact clinical applications
- Ph.D. in bioinformatics, cancer biology, or related field with a focus on computational proteomics
- 5+ years of relevant industry experience, including 3+ years of experience leading and mentoring scientific teams
- Experience in experimental design and analysis of high-throughput, quantitative technologies in proteomics using Python and/or R
- Experience in the evaluation and application of appropriate statistical methods given a hypothesis and available data
- Experience with source code version control. Experience with cloud-based computing and containerized compute environments is a plus
- Excellent oral and written communication skills to communicate to scientific and broader audiences, with keen attention to detail
- Ability to work on a cross-functional team in our highly collaborative environment, working with both computational and experimental scientists
Valuable supplementary qualifications include:
- Knowledge of cancer biology, and experience leveraging this knowledge for problems in cancer computational biology and diagnostics
- Experience using quantitative proteomics and systems biology approaches (e.g., proteogenomics, network analysis, gene ontology) for biomarker discovery or related applications
Benefits and additional information:
The US target range of our base salary for new hires is $176,375 - $270,000. You will also be eligible to receive pre-IPO equity, cash bonuses, and a full range of medical, financial, and other benefits dependent on the position offered. Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education. We invite you to check out our career page @ https://careers.freenome.com/ for additional company information.
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.
Applicants have rights under Federal Employment Laws.
- Family & Medical Leave Act (FMLA)
- Equal Employment Opportunity (EEO)
- Employee Polygraph Protection Act (EPPA)
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