HOWARD HUGHES MEDICAL INSTITUTE HHMI

HOWARD HUGHES MEDICAL INSTITUTE HHMI

Postdoctoral Scientist - Feder Lab

University of Washington, USA · Principal

Sponsorship not specifiedDetected 4 min ago
PythonHRISBioinformaticsNGSResearchCommunicationCollaborationProblem SolvingTime ManagementMentoring

About the role

  • The Howard Hughes Medical Institute (HHMI) advances the discovery and sharing of scientific knowledge to benefit us all.
  • We have an outstanding opportunity for a Postdoctoral Scientist to join the lab team of Dr.
  • Alison Feder, Freeman Hrabowski Scholar, based in the Department of Genome Sciences at the University of Washington in Seattle.

Responsibilities

  • Based on your career interests, you will have the opportunity to either develop your own research project in the lab or work on an established research project involving rapid evolutionary dynamics in viruses, bacteria and cancer contexts
  • Attend local and national meetings to present research findings, learn about the latest advances in the field, and develop a scientific network.
  • Opportunities to develop an independent research portfolio and mentor junior scientists
  • Full access to HHMI's on-demand online training courses and skill-building seminars.
  • As a biomedical research organization and philanthropy, HHMI supports a vibrant community of academic researchers, educators, students, and professionals.
  • Together, we're unlocking the fundamentals of biology and building an open, inclusive future for science.

Requirements

  • Strong problem-solving skills, with the ability to tackle challenges creatively.
  • Excellent communication skills with the ability to present and discuss findings clearly in diverse settings.
  • Ability to work successfully within a collaborative and congenial environment.
  • A PhD in the life sciences, computer science or applied mathematics is required. Focus on genetics, genomics, evolutionary biology, or computational biology is preferred.
  • Experience with Python, R or a different scripting language is required. Experience with mathematical modeling and/or the analysis of next generation sequencing data would be a plus.
  • A self-motivated mindset with the persistence to explore innovative research and address challenging scientific problems.
  • A flexible and adaptive approach, willing to learn new techniques, share expertise, and contribute to the collective success of the team.
  • Meticulous approach to work with a high level of attention to detail.
  • Strong commitment to research integrity.
  • Physical Requirements
  • Remaining in a normal seated or standing position for extended periods of time
  • reaching and grasping by extending hand(s) or arm(s)
  • dexterity to manipulate objects with fingers, for example using a keyboard

Nice to have

  • A PhD in the life sciences, computer science or applied mathematics is required.
  • Focus on genetics, genomics, evolutionary biology, or computational biology is preferred.
  • Experience with Python, R or a different scripting language is required.
  • Experience with mathematical modeling and/or the analysis of next generation sequencing data would be a plus.

Skills

  • Excellent organizational and time management skills.

Compensation

  • Our employees are compensated from a total rewards perspective in many ways for their contributions to our mission, including competitive pay, exceptional health benefits, retirement plans, time off, and a range of recognition and wellness programs.
  • $70,000.00 (minimum) - $80,500.00 (midpoint) - $91,000.00 (maximum)
  • HHMI's salary structure is developed based on relevant job market data.
  • Typically, a new hire for this position in this location is compensated between the minimum and the midpoint of the salary range.

Benefits

  • A competitive compensation package with comprehensive health and wellness benefits.
  • Health Science Building, Seattle, WA, 98195-7370

Equal opportunity

  • HHMI is an Equal Opportunity Employer

This listing is sourced directly from HOWARD HUGHES MEDICAL INSTITUTE HHMI's careers page and normalized into a canonical job model.