Bioinformatician, Part-time (67852BR)

Position Description

Position Description:

We are seeking a Bioinformatician to join the laboratory of Ting Wu at Harvard Medical School as part of a project to study genome organization, function, and evolution, including sequence conservation. A successful candidate will independently conduct computational studies within this context. Essential qualities for this position include extensive experience in handling complex data analysis, a collaborative spirit, high levels of self-motivation, creativity, and open-mindedness. The candidate will be part of an interdisciplinary team comprising geneticists, engineers, biochemists, and microscopy experts. We expect the individual fulfilling Bioinformaticist II position to be initiating new projects and establishing lines of investigation.

Specific Responsibilities: The candidate will address key questions in genetics, focusing on the role of sequence conservation in maintaining genome integrity.

This will entail:

1. Independently design and execute computational projects, using innovative methods.

• Write and execute scripts for various computational and statistical analyses (e.g., Python/R, Command Line, Shell, MATLAB, Genomic tools such as Bedtools, SAMtools, and Bowtie, PyTorch, and supervised/unsupervised machine learning, etc).
• Research and obtain access to publicly available structural variant and SNV databases to support studies (e.g., gnomAD, 1000 Genomes, UK Biobank, T2T Consortium, The Cancer Genome Atlas Program (TCGA), Simons
  
  

2. Foundation Autism Research Initiative (SFARI), etc) in support of the research goals of the lab.

3. Independently manage sub-projects and mentor junior bioinformaticians to help develop their programming expertise. The candidate is expected to spend 10% of their time on this responsibility.

4. Stay updated on relevant literature and emerging computational tools

5. Lead group meetings to share computational pipelines with the lab and to ensure best practices and write up the research findings for manuscripts and grant funding.

• Collaborate with and train colleagues within and outside the laboratory in computational methods.
  
  

Basic Qualifications

• Minimum of five years’ post-secondary education or relevant work experience
  
  

Additional Qualifications And Skills

• The ideal candidate should have a minimum of three years of post-baccalaureate computational research or industry experience in genetics, epigenetics, genomics, biostatistics, and/or machine learning.
• Applicants should have extensive training and experience in computational biology, data science, statistics, or related fields, with hands-on expertise in programming, machine learning, and artificial intelligence for building, testing, and evaluating predictive and classification models.
• Proficiency in Python, R, and MATLAB, along with experience in cloud or cluster computing, is required.
• Strong verbal and written communication skills are also required.
  
  

Additional Information

Please note this is a part-time, 17.5 hours (.5 FTE) per week 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.

The health of our workforce is a priority for Harvard University. With that in mind, we strongly encourage all employees to be up-to-date on CDC-recommended vaccines.

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! ( https://www.gem.com ?formID=16341e35-cbc6-4904-88a3-09b35763307e )

Work Format Details

This position is based primarily on-campus, in Massachusetts. This may include in-person during emergency situations (if applicable). Additional details will be discussed during the interview process. Certain visa types may limit work location. Individuals must meet work location sponsorship requirements prior to employment.

Benefits

We invite you to visit Harvard's Total Rewards website ( https://hr.harvard.edu/totalrewards ) to learn more about our outstanding benefits package, which may include:

• Paid Time Off: 3-4 weeks of accrued vacation time per year (3 weeks for support staff and 4 weeks for administrative/professional staff), 12 accrued sick days per year, 12.5 holidays plus a Winter Recess in December/January, 3 personal days per year (prorated based on date of hire), and up to 12 weeks of paid leave for new parents who are primary care givers.
• Health and Welfare: Comprehensive medical, dental, and vision benefits, disability and life insurance programs, along with voluntary benefits. Most coverage begins as of your start date.
• Work/Life and Wellness: Child and elder/adult care resources including on campus childcare centers, Employee Assistance Program, and wellness programs related to stress management, nutrition, meditation, and more.
• Retirement: University-funded retirement plan with contributions from 5% to 15% of eligible compensation, based on age and earnings with full vesting after 3 years of service.
• Tuition Assistance Program: Competitive program including $40 per class at the Harvard Extension School and reduced tuition through other participating Harvard graduate schools.
• Tuition Reimbursement: Program that provides 75% to 90% reimbursement up to $5,250 per calendar year for eligible courses taken at other accredited institutions.
• Professional Development: Programs and classes at little or no cost, including through the Harvard Center for Workplace Development and LinkedIn Learning.
• Commuting and Transportation: Various commuter options handled through the Parking Office, including discounted parking, half-priced public transportation passes and pre-tax transit passes, biking benefits, and more.
• Harvard Facilities Access, Discounts and Perks: Access to Harvard athletic and fitness facilities, libraries, campus events, credit union, and more, as well as discounts to various types of services (legal, financial, etc.) and cultural and leisure activities throughout metro-Boston.
  
  

Job Function

Information Technology

Department Office Location

USA - MA - Boston

Job Code

I1257P IT RC Software/Data Prof III

Work Format

On-Site

Sub-Unit

Salary Grade

057

Department

Genetics

Union

00 - Non Union, Exempt or Temporary

Time Status

Part-time

Pre-Employment Screening

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

https://hms.harvard.edu/about-hms/campus-culture/mission-community-values-diversity-statement

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.

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