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Computational Biologist Jobs

Company

Harvard University
Address , Boston, Ma
Employment type FULL_TIME
Salary
Expires 2023-06-09
Posted at 1 year ago
Job Description

Position Description

The Sharpe and Liu labs are seeking a highly motivated individual to join our teams in a co-mentored position as an Associate Computational Biologist. This individual will be mentored by both Dr. David Liu, an expert in computational approaches to dissect cancer therapy resistance mechanisms, and Dr. Arlene Sharpe, an expert in T cell biology and cancer immunology. The Liu lab uses statistical and machine learning approaches to integrate clinical and molecular data from patient samples for personalized care in oncology, biomarkers for rational drug development, and new insights into tumor biology. The Sharpe lab uses cutting-edge techniques including CRISPR/Cas9 genome editing, preclinical mouse models, and single-cell RNA sequencing to improve our understanding of T-cell costimulatory pathways in health and disease. The individual will have the opportunity to participate in the analysis of both mouse and human genomic datasets, and the identification of novel targets and pathways for cancer immunotherapy and autoimmunity.

The successful candidate should demonstrate initiative and be invested in the success of research projects. He/she will have enthusiasm for taking a hands-on, problem-solving approach, learning on the job, and collaborating with research scientists and associates in an informal collegial work environment imbued with intellectual rigor. He/she should possess an outstanding academic record and strong communication skills, demonstrate innovative and analytical thinking, and enjoy working in an interdisciplinary team. The successful candidate should have the ability to design algorithms, apply statistical methods, and innovate ways to analyze, integrate, visualize, and interpret a wealth of systems data that will directly inform discovery experiments and target advancement projects, requiring the development of core domain knowledge in genetics, molecular biology, immunology, and computational biology. The successful candidate also should demonstrate experience with multi-tasking and have the ability to work independently as well as part of a team, and possess meticulous work habits with careful attention to detail. This work will be central to several major research projects, and co-authorship on high-impact publications is expected.
Sharpe lab website: https://sharpelab.hms.harvard.edu/
Liu lab website: https://connects.catalyst.harvard.edu/Profiles/display/Person/131167

Basic Qualifications

  • 3+ years of experience in the area of bioinformatics
  • Bachelor’s degree in a biological or quantitative field (molecular biology, immunology, computer science, statistics, physics, mathematics, or related field)

Additional Qualifications and Skills

  • Ability to solve complex problems
  • Strong programming skills and experience in algorithm development (using Python, R, Matlab, etc.)
  • Coursework in Statistics
  • Background knowledge in computational biology is preferred, but most important are strong computational and quantitative skills
  • Excellent oral and written English communication skills

Additional Information

This is a two-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 is an in-person position based on our campus in Boston.
Harvard University continues to place the highest priority on the health, safety, and well-being of its faculty, staff, and students, as well as the wider community. Please note that all new employees will be required to complete an attestation of having received their primary series COVID-19 vaccination prior to hire, as detailed on our COVID-19 Vaccine Requirement Webpage. Individuals may request exemption from the vaccine requirement for medical or religious reasons prior to completing the hiring process. Additional information regarding this requirement, exemptions, verification of vaccination status, and other related policies and resources may be found on the University’s COVID-19 Information Website.
Please note that we are currently conducting a majority of interviews and onboarding remotely and virtually. We appreciate your understanding.
The Harvard Medical School is not able to provide visa sponsorship for this position.
Not ready to apply? Join our talent community to keep in touch and learn about future opportunities!

Benefits

Harvard University offers an outstanding benefits package including:
  • Wellness Options: Harvard offers programs and classes at little or no cost, including stress management, massages, nutrition, meditation, and complementary health services.
  • Time Off: 3 - 4 weeks paid vacation, paid holiday break, 12 paid sick days, 12.5 paid holidays, and 3 paid personal days per year.
  • Tuition Assistance Program: Competitive tuition assistance program, incredibly affordable classes directly at the Harvard Extension School, and discounted options through participating Harvard grad schools.
  • Medical/Dental/Vision: We offer a variety of excellent medical plans, dental & vision plans, all coverage begins as of your start date.
  • Transportation: Harvard offers a 50% discounted MBTA pass as well as additional options to assist employees in their daily commute.
  • Harvard access to athletic facilities, libraries, campus events, and many discounts throughout metro Boston.
  • Retirement: University-funded retirement plan with full vesting after 3 years of service.

Job Function

Research

Department Office Location

USA - MA - Boston

Job Code

RS0456 Bioinformaticist I

Work Format

On-Site

Department

Immunology

Sub-Unit

-

Time Status

Full-time

Salary Grade

056

Union

00 - Non Union, Exempt or Temporary

Pre-Employment Screening

Education, Identity

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. Harvard Medical School Mission and Community Values

EEO 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.