Research Scholar

Reposted 16 Hours Ago
Be an Early Applicant
New York, NY, USA
Hybrid
78K-85K Annually
Junior
Big Data • Healthtech • Other • Social Impact • Biotech • Pharmaceutical • Data Privacy
MSK is at the forefront of a digital & data transformation that will change the way we treat cancer.
The Role
Postdoctoral research position applying theoretical and quantitative methods (including AI) to cancer and biological problems. Collaborate with experimentalists and clinicians, develop predictive models from biological data, present work in seminars, and work independently within a multidisciplinary team.
Summary Generated by Built In

About Us:

   

The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursue our mission at MSK and around the globe.

 

The MSK Theory Group is a new initiative to recruit advanced quantitative scientists to conduct interdisciplinary research at the frontier of cancer, immunology, artificial intelligence, ecology, and evolution in close collaboration with world-class experimentalists and physician-scientists at Memorial Sloan Kettering Cancer Center.

● This research position is aimed at postdocs who are specifically looking to apply their theoretical training to problems in cancer and have a demonstrated record of quantitative training applied to problems in biology, including using and developing frontier methods in artificial intelligence.

● The project scope requires a strong desire to derive quantitative insights from unique data and interface directly with experimentalists and physician-scientists to answer some of the toughest problems in biology.

● A successful candidate will have considerable independence as a fellow, participate in weekly chalk talks, and interact with aligned investigators in the Greenbaum and other labs.

Key Requirements:

· PhD in physics, mathematics, computer science, or other quantitative research discipline with demonstrated theoretical research output.

· Demonstrated strong expertise in frontier modeling concepts in a related field.

· Experience in programming, with a desire to learn about computational analysis of biological data towards predictive models.

· Track record of exceptional publications.

· Ability to draw connections between disparate disciplines (as demonstrated through publications, presentations, talks, funding sources).

· Ability to work collaboratively in a multidisciplinary team environment.

Preferred Skills:

· Some experience working with biological data

· Strong interest in translational research and collaboration with clinical teams

Pay Range: $77,591 - $85,000

Application Instructions: Submit C.V., letter of interest, and references in your application submission to: Stephen Martis at [email protected] (subject line: Theory fellow application)

 

Pay Range: $0.00 - $10,000,000.00

 

FSLA Status: Exempt

 

Closing:

At MSK, we believe in fair, competitive pay that reflects your job, experience, and skills.

MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision.  

Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

Skills Required

  • PhD in physics, mathematics, computer science, or other quantitative research discipline with demonstrated theoretical research output.
  • Demonstrated strong expertise in frontier modeling concepts in a related field.
  • Experience in programming and desire to learn computational analysis of biological data toward predictive models.
  • Track record of exceptional publications.
  • Ability to draw connections between disparate disciplines (demonstrated via publications, presentations, talks, funding).
  • Ability to work collaboratively in a multidisciplinary team environment.
  • Some experience working with biological data.
  • Strong interest in translational research and collaboration with clinical teams.
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The Company
HQ: New York, NY
16,000 Employees
Year Founded: 1884

What We Do

The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursue our mission at MSK and around the globe. One of the world’s most respected comprehensive centers devoted exclusively to cancer, we have been recognized as one of the top two cancer hospitals in the country by U.S. News & World Report for more than 30 years.

Why Work With Us

Our technical teams are embracing agile methodologies and user-centered design to build products that will improve the patient journey. We look forward to enhancing our use of data, analytics, and technology to improve how we work and collaborate.

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