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Computational Biology Intern

Employer
Freenome
Location
South San Francisco, California, US
Salary
Competitive
Closing date
May 22, 2022

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Sector
Consultancy/Private Sector
Field
Informatics / GIS
Discipline
Statistics, Biology
Salary Type
Salary
Employment Type
Internship
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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.

As an intern in the Computational Biology team, you will work with other computational and assay development scientists to investigate sources of variability in Freenome's circulating cell-free DNA methylation assay. During this internship, you will learn about liquid biopsy assay development and gain valuable industry experience working on experimental assay validation in a regulated environment. The ideal candidate will have strong computational skills, an interest in learning how next generation sequencing (NGS) data can be used for early cancer detection, and prior experience analyzing biological data. This is a 12-week, paid, remote internship position with a flexible start date.

Your Contribution:
  • Work with laboratory scientists to understand, compile, and standardize metadata across several experiments.
  • Perform statistical analyses (e.g. linear regression, time series analysis, causal inference, or other approaches, depending on the candidate's background and skill set) to identify root causes of variability in sequencing metrics and increase the robustness of Freenome's assays.
  • Document and submit analysis code for code reviews.
  • Present findings to the Laboratory and Computational Science teams at the end of the internship.


Your background, perspective, and experience:
  • Currently enrolled in a MS or PhD program in mathematics, statistics, bioinformatics, data science, or related field.
  • Strong applied statistics and data visualization skills (knowledge of causal inference methods and packages a plus).
  • Proficient in R and/or Python (experience with version control a plus).
  • Strong communication skills and ability to collaborate with experimental scientists.
  • Experience analyzing NGS data preferred.


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.

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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