Career Opportunities

Career Opportunities


Patients are at the heart of everything we do at Loxo Oncology, and we continue to be motivated by our goal of improving the lives of people living with cancer. We pursue this goal with a tenacity, focus, and commitment to excellence that defines who we are and how we work.

We seek dedicated, passionate, hardworking, intelligent, thoughtful, and authentic individuals who thrive within a collaborative and fast-paced environment and will bring their experiences, unique perspectives and problem-solving skills to the team. In return, we cultivate an environment that rewards and recognizes hard work and provides opportunities for learning and growth as part of a team making a meaningful difference in the lives of patients.

Computational Biologist

Location: South San Francisco, CA or New York, NY or Remote

Reports To:

Senior Director, Discovery Bioinformatics

Position Summary

Loxo Oncology at Lilly conducts discovery research, clinical development and regulatory affairs for oncology, with the goal of creating a pipeline of therapies that have the potential to make a meaningful difference for patients. Loxo Oncology at Lilly was created in December 2019, combining the Lilly Research Laboratories oncology organization and Loxo Oncology, which was acquired by Lilly in early 2019. The unit has team members in Boulder, CO, Indianapolis, IN, New York City, South San Francisco, Stamford, CT, and Madrid, Spain.

We are seeking a talented and highly motivated Computational Biologist to join our Discovery Bioinformatics group. The successful candidate will work closely with a multi-disciplinary team to rapidly advance small molecule drug development efforts. This position is expected to develop and validate data-driven hypotheses to advance transformative medicines.

Roles and Responsibilities of the Position*

The successful candidate will work in a face-paced and highly collaborative environment to tackle important questions in oncology drug development. They will employ the latest genomics and statistical approaches to interrogate these questions. Success critically depends on an ability to effectively present complex analyses and results in a clear and concise manner to a diverse audience of scientists.

Required Qualifications and Background

  • MS/PhD in Bioinformatics, Biostatistics, Computational Biology, or similar area of study. Alternatively, post-graduate training in high-dimensional data analyses, supported by scientific achievements (eg., publications, patents, etc), would also be considered equivalent
  • Relevant experience must be supported by scientific accomplishments such as publications, scientific presentations, patents, etc
  • Strong understanding of relevant concepts in cancer biology and molecular biology
  • Hands-on experience with data analysis involving high-throughput molecular assays such as DNA/RNA-Seq, ATAC/ChIP-Seq, single-cell technologies, etc
  • Understanding of current best-practices for high-throughput genomics/molecular data analyses and their underlying statistical principles
  • Experience using programming languages such as R, Python, or similar for statistical analysis

Physical Demands / Travel

The physical demands of this job are consistent with light office duties.

The physical demands here are representative of those that must be met by an employee to successfully perform the essential functions of this job.

Work Environment

This position’s work environment is in an office.  

The work environment characteristics described here are representative of those encountered by an employee while performing the essential functions of this job.

*To perform this job successfully, an individual must be able to perform each role and responsibility satisfactorily. The requirements listed above are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Loxo Oncology, Inc. is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.