Scientist I- Computational Biology

07-Feb-2025

Scientist I- Computational Biology

Wyss Institute at Harvard University

67921BR

Job Summary

About Us:

The Wyss Institute’s mission is to transform healthcare and the environment by emulating the way nature builds. We harness the imagination of academia and the focus of industry to translate ground-breaking technologies into commercial products that solve big problems. We support research that universities, companies, and venture capital firms don’t fund because they view it as too risky.  We prefer to use the word “challenging,” and we love challenges. For more information discover our technologies, catch up on our recent news, or watch our latest videos.
 

About You: 

You are a collaborative, impact-focused problem solver who wants to be part of a dynamic team dedicated to creating and commercializing novel approaches to global challenges in healthcare and sustainability. You want the opportunity to explore your scientific interests and apply your knowledge to tackle ambitious projects in a fast-paced, entrepreneurial-minded environment with resources and support from top-notch scientific, operations, and administrative professionals. You enjoy working with highly motivated, diverse teams and leveraging your expertise to create innovations that can change the world.
 

About the role:

We are looking for a Scientist I to join our Diagnostics Accelerator team with significant expertise in analyzing Next Generation Sequencing (NGS) and other high throughput datasets (mass spectrometry) for biomarker discovery. You will work with a multidisciplinary team on developing multi-omic technologies for investigating pathological states from human biofluids. You will lead development of novel Next Generation Sequencing (NGS) computational methods that will be used across different diseases. Although this role is primarily computational, you will also have an opportunity to participate or be trained in experimental methods and ideally serve as a hybrid computational / experimental scientist. 

Position Description

What you'll do:

• Perform computational analysis of NGS (RNA-Seq, etc), mass spectrometry, and other large scale datasets to find novel biomarkers for different diseases
• Help with experiments developing novel platforms for biomarker discovery
• Provide training and guidance to other lab members on experimental technique
• Present data at internal Wyss Meetings and prepare presentations for updating program officers from funding agencies.
• Develop pipelines for selecting biomarkers from large multi-omic data sets. (NGS, mass spectrometry, etc.)
• Develop new technologies for profiling of biomarkers from human biofluids.
• Demonstrate a commitment to diversity, inclusion, and cultural awareness through actions, interactions, and communications with others.

Basic Qualifications

What you'll need:

• Bachelor’s degree in biology, computer science, engineering, or a related field and at least 4 years of experience experience working with NGS data (RNA-Seq, etc).
• Strong programming skills in Python and/or R, and extensive expertise in writing computational biology workflows required. Advanced education may count towards years of experience.

Additional Qualifications and Skills

Desirable Skills:

• MS or PhD in computational biology preferred but not required.
• Experience with ML/AI workflows helpful.
• Experience with analyzing mass spectrometry data helpful.
• Prior experimental experience (molecular biology, NGS library preparation, programming liquid handlers/automation) helpful.

Additional Information

Why you’ll like working with us:

At the Wyss Institute, you’re a member of a supportive, dynamic community that is united by its shared goal of changing the world through groundbreaking technology development and commercialization. We encourage your professional growth and development through mentorship and tuition reimbursement to support continued learning, and more. We also support your physical, financial, and mental well-being through generous time off benefits, gym reimbursements, and other programs offered through Harvard. Our facility is located in a new, state-of-the-art life sciences building in the lively Fenway neighborhood, where you have access to multiple amenities including a roof top terrace with stunning views of Boston and proximity to numerous restaurants and cultural attractions.  We value an inclusive and diverse workforce, and believe that our differences enrich the work environment for all.

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Work Format Details

This is an in-person position based on our campus in Boston.

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

Research

Department Office Location

USA - MA - Boston

Job Code

RS0456 Bioinformaticist I

Work Format

On-Site

Sub-Unit

------------

Salary Grade

056

Department

Wyss Institute

Union

00 - Non Union, Exempt or Temporary

Time Status

Full-time

Pre-Employment Screening

Education, Identity

Schedule

Monday - Friday, 9am - 5pm

Commitment to Equity, Diversity, Inclusion, and Belonging

As a collaborative organization, we at the Wyss Institute know that great innovation happens when diverse perspectives come together to solve problems. As a result, we are committed to cultivating and preserving a culture of inclusion and connectedness both in and out of the lab. When recruiting for our team, we welcome the unique contributions that you will bring in terms of education, culture, ethnicity, race, sex, gender identity and expression, nation of origin, age, languages spoken, veteran’s status, religion, disability, and sexual orientation. We believe these differences in background, experience, and perspective enrich our work environment and are essential to our mission of solving complex problems through technology development and translation.

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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