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Research Scientist
Research ScientistPartners Healthcare • Cambridge, MA, US
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Research Scientist

Research Scientist

Partners Healthcare • Cambridge, MA, US
30+ days ago
Job type
  • Full-time
Job description

Site : Mass General Brigham Incorporated

Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.

This role is hybrid with 4 days onsite and 1 day remote.

The salary range for this position is $80,000 to $110,000 annually. At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach to determining base pay is comprehensive, and any offer extended will take into account your skills, relevant experience, if applicable, education, certifications, and other essential factors. The base pay information provided offers an estimate based on the minimum job qualifications; however, it does not encompass all elements contributing to your total compensation package.

In addition to competitive base pay, we offer comprehensive benefits, career advancement opportunities, differentials, premiums, and bonuses as applicable, and recognition programs designed to celebrate your contributions and support your professional growth. We invite you to apply, and our Talent Acquisition team will provide an overview of your potential compensation and benefits package.

Job Summary

The Opportunity :

The Gene and Cell Therapy Institute (GCTI) is a newly created system-wide Institute under Mass General Brigham. The Institute will foster a world-class gene and cell therapy program that will leverage ongoing, groundbreaking scientific research efforts across the MGB system.

The mission of GCTI is to bring together the community of MGB investigators which can utilize gene and cell therapy platforms to achieve their scientific and clinical goals and improve the health of patients. The Institute will differentiate itself by harnessing the exceptional strengths of clinician scientists, the large and unique patient population, and major discoveries throughout the hospital system to propel MGB as the leader in Gene & Cell therapies.

The Abudayyeh-Gootenberg Gene Editing lab at the Mass General Brigham Gene and Cell Therapy Institute is seeking a talented AI Scientist and Engineer to join the Mass General Brigham Gene and Cell Therapy Institute. This role will work across multiple groups within the institute, including the Abudayyeh-Gootenberg lab, gene editing core, and RNA core. The successful candidate will contribute to developing AI solutions for gene and cell therapy, support general computational efforts, and help shape strategic directions for the institute.

This is a unique opportunity to work at the intersection of cutting-edge technology development and groundbreaking biomedical research. You will be part of a dynamic team focused on advancing gene therapy, cell therapy, stem cell biology, regenerative medicine, and biomanufacturing, through the application of advanced machine learning approaches. Your work will directly contribute to our understanding of large-scale data across different fields and the development of novel technologies and therapeutics.

As an AI Scientist and Engineer in our institute, you will play a crucial role in developing models to understand and model large amounts of biological data, including single-cell, genomics, and transcriptomic data. This work will ultimately yield predictive and generative models that can program biology and enable new technologies and therapeutics.

Your position will also be highly collaborative, involving close interaction with experimental scientists, computational biologists, and other researchers across the institute and labs. We actively encourage creativity and leadership from our computational experts, and you will have the opportunity to lead multiple projects within the institute. This role offers the exciting prospect of being at the forefront of AI applications in gene and cell therapy, with the potential to make significant contributions to the field.

What We Offer :

  • Opportunity to work at the forefront of AI applications in gene and cell therapy
  • Collaboration with world-class researchers and cutting-edge technologies
  • Access to state-of-the-art facilities and resources
  • Potential to contribute to groundbreaking discoveries in regenerative medicine
  • Supportive and innovative work environment that encourages creativity and leadership

Qualifications

Qualifications :

  • Ph.D. in Computer Science, Computational Biology, Bioinformatics, or a related field required
  • Previous Research experience 5-7 years required
  • Skills / Abilities / Competencies :

  • Strong programming skills and experience with machine learning frameworks
  • Expertise in processing and analyzing single cell data
  • Familiarity with deep learning models and their applications in biological data
  • Experience with large-scale data management and computing clusters
  • Knowledge of molecular biology, stem cell biology, gene therapy, and / or cell therapy is highly desirable
  • Excellent communication skills and ability to collaborate with multidisciplinary teams
  • Strong organizational and project management abilities
  • Ability to manage small teams towards high-level goals and priorities
  • Demonstrated ability to work in a fast-paced, dynamic research environment
  • Essential Functions

  • Trains / mentors study staff.
  • Mentor a team of data analysts in statistical analysis, study design, and coding.
  • Overseeing progress across multiple research and evaluation projects.
  • Identifies, assimilates, and synthesizes data needed for computer models and manages databases relating to statistical and related software.
  • Work closely with cross-functional teams (analytical chemistry, sensory, applications & flavor creation) to achieve desired results.
  • Lead internal encapsulation science research program as well as external research collaborations.
  • Design, execute and interpret research experiments
  • Analyze and present data at internal and external meetings.
  • Performs other duties as assigned
  • Complies with all policies and standards
  • Additional Job Details (if applicable)

    Remote Type

    Hybrid

    Work Location

    65 Landsdowne Street

    Scheduled Weekly Hours

    40

    Employee Type

    Regular

    Work Shift

    Day (United States of America)

    EEO Statement :

    Mass General Brigham Incorporated is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and / or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran's Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642.

    Mass General Brigham Competency Framework

    At Mass General Brigham, our competency framework defines what effective leadership "looks like" by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.PandoLogic. Category : , Keywords : Staff Scientist

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    Research Scientist • Cambridge, MA, US

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