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Senior Bioinformatics ScientistBrugge Lab
The Brugge lab at Harvard Medical School is seeking a senior computational biologist to work with laboratory investigators on bioinformatics analyses, statistical modeling and generation of hypotheses from large multi-modal patient derived data sets. Our group has a long-standing interest in understanding cancer initiation and drug resistance. We focus on breast and ovarian cancers and, with our collaborators, have access to valuable patient samples, from ostensibly normal tissue to bonafide tumors derived from both pre- and post-chemotherapy- treated patients. We use advanced single cell approaches to profile the genetic, epigenetic and transcriptomic landscape to identify preventive and/or therapeutic strategies for these cancer types. We integrate this information with high-throughput immunofluorescence microscopy to locate cells of interest in situ. We are looking for a talented, motivated and collaborative inter-disciplinary computational scientist to play a key scientific role leveraging computational strategies to identify the earliest molecular changes that take place prior to cancer initiation as well as critical programs involved in therapy resistance. In this role, you will have a path to grow and thrive through unique opportunities to examine (1) patient-matched pre- and post-therapy ovarian cancer samples, and (2) normal breast tissues from women at high-risk of developing breast cancer. You’ll pursue innovative approaches to address fundamental biological questions of tumor biology while advancing your knowledge of cancer biology alongside some of the brightest minds in cancer research.
Analysis scenarios will involve applying cutting-edge bioinformatics, statistics, ML/AI, and data analysis methods integrating clinical and multi-modal data sets from donor tissues and from oncology clinical studies. Data types include scRNAseq, scATACseq, spatial transcriptomics, among others. This work offers the exciting opportunity to make major contributions to scientific knowledge of breast and ovarian cancer biology and to publish in high impact journals, with the long-term goal of identifying new preventive and therapeutic strategies for cancer patients. In addition, this role offers the flexibility to work partially remote and dictate your office days. This position is full-time, but we will consider qualified candidates looking for part-time.
- Perform analysis of large-scale -omics datasets (e.g., scRNAseq, scATACseq, and others) to identify clinically-relevant hypotheses
- Develop and apply computational methods to integrate across different type of ‘omics’ data
- Lead in-depth analysis of genes/programs of interest to reveal biological and driver mechanisms in chemotherapy responsiveness
- Work closely with bench researchers in the lab to develop analytical strategies and experimental design
- Summarize analysis findings and report to colleagues
- Work with another bioinformaticist as well as two computational imaging experts
- Prepare figures and presentation materials for manuscripts, grants and seminars
- Write and edit computational biology sections of a manuscripts and/or grants
- Bachelors and 7+ years of experience in computational biology, bioinformatics, statistics or related fields
or Masters and 5+ years of experience in computational biology, bioinformatics, statistics or related fields
or PhD and 2+ years of experience in computational biology, bioinformatics, statistics or related fields
- High-level proficiency in R and Python and other programming languages
- Expertise in high-performance computing environments
- Substantial experience integrating and analyzing single cell -omics data (i.e. scRNAseq, scATACseq or spatial transcriptomics)
- Strong problem solving, biological, statistical and computational capabilities
- Excellent collaboration and communication skills, especially in written/verbal presentation and data visualization
- Familiarity with modern AI/ML methods (i.e. Graphical Neural Networks (GNNs) or Transformers) and cloud computing is a plus
- Must be independent, rigorous and think creatively
- Must be willing to make a minimum 2-year commitment depending on satisfactory performance
Minimum salary is $80,000; final salary will be determined based on level of education, years of experience and other qualifications as pertaining to this position.
This is a one-year term position from the date of hire, with the possibility of extension, contingent upon work performance and continued funding to support the position.
This position is based in Boston, but some work may be done remotely. Any remote work must be performed in a state in which Harvard is registered to do business (CA*, CT, GA, IL, MA, MD, ME, NH, NJ, NY, RI, VA, VT, and WA). Individual flexible and remote work options for this role will be discussed during the interview process. *Note: Harvard employees working in California must be exempt.
Please note that we are currently conducting a majority of interviews and onboarding remotely and virtually. We appreciate your understanding.
Commitment to Equity, Diversity, Inclusion, and Belonging
We are committed to cultivating an inclusive workplace culture of faculty, staff, and students with diverse backgrounds, styles, abilities, and motivations. We appreciate and leverage the capabilities, insights, and ideas of all individuals. https://hms.harvard.edu/about-hms/campus-culture/mission-community-values-diversity-statement
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.
Job Type: Full-time
Salary: From $80,000.00 per year
- Dental insurance
- Flexible schedule
- Health insurance
- Paid time off
- Retirement plan
- Tuition reimbursement
- Vision insurance
- Monday to Friday
Harvard community members must be fully vaccinated against COVID-19 and remain up to date with COVID-19 vaccine boosters. “COVID-19 Vaccine Information” webpage: http://www.harvard.edu/coronavirus/covid-19-vaccine-information/