Computational Biology Intern
Nuanced Health
Company Description
Nuanced Health is a seed-stage, venture capital-backed biotechnology company that is reimagining the drug development process in order to discover, develop, and evolve therapeutics. We believe that a better understanding of the biological heterogeneity among us can inspire novel therapeutics and maximize the efficacy of existing ones. At Nuanced Health, we combine in vivo techniques with computational methods to envision a drug development process that addresses our unique biology and builds treatments that work for everyone. We are a multidisciplinary company where engineers and scientists work synergistically to create a revolutionary product on a category-defining platform for the life sciences industry.
Nuanced Health is founded on enabling and integrating teams and systems to have a greater impact – a core principle that we apply toward our people and our product.
Job Description
Nuanced Health’s summer internship provides real-world, high-impact experience in computational biology as well as insight into the biotechnology ecosystem. Industry-leading mentors will provide guidance as you contribute to our goal of discovering and developing novel therapeutics.
Our summer interns will work with large, multi-omic datasets associated with diverse phenotypes that are relevant to human diseases. This work is central to our company’s mission -- you would have ownership over an important piece of our computational drug discovery mission.
Interns will be joining a team of microbiologists, immunologists, researchers, computational scientists, and engineers, so an ideal teammate is intentionally curious, highly adaptable, committed to learning, and passionate about innovation, all within a dynamic startup environment. Nuanced Health is an in-person company, and interns are expected to work in our office in Los Angeles.
Roles and Responsibilities
- Process and analyze complex multi-omic datasets, leveraging machine learning to identify biological factors associated with disease outcome
- Prepare technical presentations for internal meetings focused on research
- Collaborate closely with computational and in vivo research teams to generate and test hypotheses in order to drive discovery research
- Develop cutting edge bioinformatics pipelines utilizing our datasets to identify biomarkers and discover novel biology
Program Highlights
- Intensive full time (40 hours per week) paid internship
- Flexible start dates in May/June 2023
- Ownership of challenging and impactful mission-critical projects
- Final presentations in a company-wide forum
- Close mentorship from senior computational biologists
- Participation in social events and team-building activities
Skills and Qualifications
- Current undergraduate or graduate student at a university studying Computational Biology, Computer Science, Biostatistics, or related field
- Proficient coding skills in R, Python, or other scientific programming language
- Must be authorized to work in the US and able to work in person in Los Angeles
- Strong understanding of molecular and systems biology to facilitate investigation and interpretation of data
- Experience working with microbiome, mass spectrometry and/or machine learning preferred
- Strong analytical, problem-solving, collaboration, and communication skills
Nuanced Health is an equal opportunity employer including disability/vets. It is Nuanced Health's policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a disabled veteran, recently separated veteran, Armed Forces service medal veteran or active duty wartime or campaign badge veteran or a person’s relationship or association with a protected veteran, including spouses and other family members, or any other protected group status.
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