Careers

Job Description

The Harvard Medical School Curriculum Fellows Program (HMS CFP) welcomes applications for a Curriculum Fellow (CF) for the Center for Computational Biomedicine (CCB). This postdoctoral program targets early-career scientist-educators, emphasizing curriculum development, teaching, and educational programming in the biological and biomedical sciences.

The CCB Curriculum Fellow collaborates with a diverse cohort of Curriculum Fellows, leveraging individual expertise while closely engaging with Harvard Medical School faculty and administration to craft, implement, and assess evidence-based graduate training. Fellows benefit from mentorship and career guidance, nurturing their growth as educators and facilitating success across various education-focused careers. Further details are available on our website (https://curriculumfellows.hms.harvard.edu/).

The CCB develops shared data and analytic resources that broadly serve HMS. This includes a strong educational mandate for courses and skills related to software, data analysis, technical computational skills and the adoption of new methods (eg AI/ML, single cell RNA-seq, etc). The CCB CF will be responsible for developing curricula for CCB workshops offered to HMS graduate students and postdocs across HMS programs and departments.

The CCB CF will report directly to the Center Administrator and will receive one-on-one mentorship from the CCB Director, Dr. Robert Gentleman, Director of Administration and Education, Dr. Jaclyn Mallard and the Director of the CFP, Dr. Aimee Hollander.

Job Duties

  • Serving as the liaison between the CCB and other HMS departments to identify educational gaps that can be addressed by the CCB
  • Surveying HMS faculty, students, and postdoctoral fellows to identify gaps in education and needs that the CCB can address across HMS departments
  • Curriculum development for CCB workshops in computational biology and machine learning
  • Delivering hands on training and office hours for workflows in computational biology
  • Using and developing curricula using AI/ML models and approaches for CCB-hosted workshops and other training offerings
  • Lead and intellectually contribute to  one of CCB’s scholarship of teaching and learning projects with the expectation that findings collected during the fellowship will be presented at conferences and/or published in a scientific/education journal
Additionally, the CCB Curriculum Fellow will also have specific responsibilities to the Curriculum Fellows Program:

 

Requirements

Candidates are expected to have a PhD in Computational Biology, or closely related field and 0-3 years of postdoctoral research/fellowship experience. Candidates who are currently finishing their doctoral work but have not yet graduated are encouraged to apply.
Qualified candidates will be evaluated based upon their:
  • Demonstrated interest or experience with teaching and/or curriculum development in higher education settings.
  • Comfort and experience teaching and developing curriculum in an asynchronous online environment.
  • Organizational and written and oral communication skills.
  • Ability to support collaborations across departments in a fast-paced academic environment.

Additional Qualifications

The ideal start date for this Curriculum Fellow is as early as June 1st, 2024. This is a hybrid position and the candidate will be expected to work in person on the HMS campus in Boston, MA 3 days per week. The CF appointment is renewable annually for a maximum of three years and is non-tenure-track.

Applications are being reviewed on a rolling basis. Once you apply through the portal, please email cfp@hms.harvard.edu to alert the hiring team that you’ve applied.
To apply, CLICK HERE, or copy the application URL into your browser: https://academicpositions.harvard.edu/postings/13514
Below are the required application materials:
  • A cover letter that addresses your interest in and qualifications for the position. Please highlight your research interests and skills.
  • A curriculum vitae.
  • A teaching statement.
  • The names and contact information of three professional references.
If you have any questions specific to the program or fellowship, please email: cfp@hms.harvard.edu.

Click to apply

Job Description

As a Scientific Manager, you will play a pivotal role in managing collaborative scientific research projects and development activities within CCB. You will be responsible for coordinating multi-disciplinary teams, implementing and translating research strategies into actionable items, and ensuring that projects are executed effectively and in accordance with the highest scientific standards. This includes evaluating the feasibility of new projects and proposals, providing expert recommendations, monitoring progress, timelines and budgets. You will be responsible for communicating progress and findings to stakeholders, including writing reports and meeting summaries.

Your expertise in quantitative disciplines or in biological/biomedical fields, combined with your practical computing skills, will be essential for driving innovation. You are passionate about science and scientific discovery, a highly motivated team player with strong communication and organizational skills.

Work Group

  • Data & Analytics Platforms
  • Computational Biology
  • Knowledge Representation

Job Duties

  •  Manage collaborative scientific projects taken on by teams of researchers, data scientists, and scientific software engineers, providing guidance and support to ensure project objectives are met.
  • Ensure effective collaboration and communication between team members and across projects.
  • Utilize organizational software, source code control software, and project management tools to streamline processes and enhance productivity.
  • Organize scientific events such as seminars, town halls, off-sites and workshops.

Requirements

  • A PhD in a quantitative discipline, or in a biological or biomedical field.
  • Strong communication skills and experience managing scientific research teams.
  • Excellent practical computing skills, including proficiency in organizational software, use of source code control software (e.g., GitHub), and project management tools (e.g., JIRA, Trello).
  • Demonstrated ability to design and execute research projects successfully.
  • Exceptional problem-solving abilities and analytical skills.
  • Superior communication and interpersonal skills, with the ability to convey complex scientific concepts to diverse audiences.
  • A track record of scientific publications and scientific software contributions to the field.
  • Experience with grant writing and securing funding for research projects is a plus.

Interested candidates should submit a cover letter, a comprehensive CV, and contact information for three professional references toRobert_Gentleman@hms.harvard.edu