Scientific Program Manager

• Job Type: Officer of Administration
• Bargaining Unit:
• Regular/Temporary:
  Regular
• End Date if Temporary:
• Hours Per Week: 35
• Standard
  
  Work Schedule:
• Building:
• Salary Range: $120,000-$170,000

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

Position Summary

The AlQuraishi Lab in the Departments of Systems Biology and Computer Science at Columbia University is seeking a Scientific Program Manager with experience in technical management of machine learning projects. The Scientific Program Manager will work in a complex, multi-team effort to steer and coordinate development of next-generation machine learning models for biomolecular structure prediction. Working with the Principal Investigator (PI), the candidate will be responsible for the operation and administration of multiple projects spanning three consortia: (i) Open Fold for developing frontier models for biomolecular systems, (ii) AISB (AI Structural Biology Network) for training federated models on proprietary pharmaceutical repositories, and (iii) Open Bind for large-scale data acquisition of crystallographic datasets for training next-generation biomolecular models.

This includes ensuring that scientific progress and/or deliverables occur in a timely fashion, that progress is communicated among collaborating teams within and outside of Columbia, and that frequent engagement is made with external partners in biopharma and the tech industry. The candidate will initiate and lead meetings among the scientific staff and will work closely with the PI and research team members to ensure that research studies are completed on time and within computational budget.

This is a position for a highly organized person with good management skills and includes cross-disciplinary project coordination, scientific communication, and liaising with multiple internal and external partners informally and through formal reports.

Responsibilities

Duties

• 45%:
  In conjunction with PI, help manage and administer multiple team projects. Oversee general operation of key projects and ensure that ongoing administrative and operational processes support the goals and objectives of the research agenda. Plan and lead routine project team meetings.
• 30%:
  Decompose large projects into tasks and subtasks, and assign and track responsibilities across team members, ensuring timely execution of project requirements in accordance with deadlines.
• 25%: Direct and prioritize resource allocation to ensure that research deliverables are met.

Functional Knowledge

• Strong familiarity with key components of the research program, including machine learning, computational biology, and molecular sciences.
• Experience with scientific writing and sufficient familiarity with scientific aspects of research to draft text independently.
• Project management experience, preferably experience overseeing a large, multi-component project.

Problem Solving

• Ability to troubleshoot tissue processing protocols including the isolation of viable cells of multiple lineages from disparate human tissue sites.
• Ability to troubleshoot the analysis of single-cell RNA-seq and high-dimensional flow cytometry data with computational biology collaborators.
• Ability to prioritize the distribution of tissue resources across a variety of projects in consultation with the PI.

Decision Making/Autonomy

• Support PI by maintaining oversight of all personnel working for the program (>15 personnel).
• Maintain awareness of team engagement; identify and respond to key challenges and areas of opportunity.

Leadership

• Support PI by maintaining oversight of all personnel working for the program (>15 personnel).
• With PI, set the strategy and establish standards for hiring, performance appraisal, and competency assessment. Establish job expectations and methods for measurement of standards for all personnel.
• Maintain awareness of team engagement; identify and…