Associate Computational Biologist Position for Early Career Researchers
The Cassa and Sherwood Labs at Brigham & Women’s Hospital and Harvard Medical School invite applicants for the position of associate computational biologist, developing computational-experimental approaches for genetic risk assessment. The ideal candidate will have a strong interest in developing computational methods to better understand human disease, by analyzing data from CRISPR screening assays and large population genomic datasets. The role requires strong problem-solving skills as well as the ability to efficiently communicate and interact with collaborators from clinical, experimental, and computational backgrounds. Helpful skills would be familiarity with common bioinformatics tools and experience in statistical analysis.
The research in our groups covers a wide variety of scientific areas. Your role will include a combination of the following duties:
- Apply existing and novel algorithms to genomic data sets, analyze data quality, critically review and analyze results, communicate results to biologists, computational biologists, software engineers, and clinicians.
- Develop data analysis strategies, develop new algorithms, and deploy computational tools for the exploration of very large data sets.
- Explore novel data visualization tools, with emphasis on integrating diverse data types or sets
- Implement or improve algorithms in software tools for distribution to the global research community
- Apply machine learning techniques to develop new models
You will take a hands-on, problem-solving approach, and collaborate with engineers and scientists in an informal collegial work environment infused with intellectual rigor. The right candidates will have an outstanding academic record, strong communication skills will demonstrate innovative/analytical thinking and will enjoy working in an interdisciplinary team. The BWH Division of Genetics has a vibrant research environment and provides the potential for your contributions to be used and recognized worldwide. We are looking for candidates who have:
- Bachelor’s or Master’s degree expected by Spring 2022
- Majored in computer science, mathematics, statistics, physics, bioinformatics, biology or similar field
- 1-4 years of undergraduate independent research experience (outside of coursework)
- Strong programming skills and experience with programming languages, preferably Python.
- Demonstrated effective communication skills and ability to interact professionally with all levels of staff and external collaborators
- Proven ability to work independently with guidance and mentorship
- The following experience is a plus:
o Experience with Unix/Linux environments (including shell scripting and high performance computing environments)
o Experience with high-throughput molecular biology data
o Experience with analyzing large population datasets
Technicians are given autonomy to lead projects, and previously trained technicians have co-authored journal articles and moved on to MD and PhD programs. To apply, send a cover letter, CV, and names and contact information for two references to email@example.com or firstname.lastname@example.org. BWH & HMS are affirmative action/equal opportunity employers.