Allen Institute for Brain Science

Scientist I - Single-cell Genomics and Bioinformatics

Pharmaceuticals & Biotech
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Ph.D. in Bioinformatics, Genomics, Neuroscience, or a related field; or a combination of education and experience.
  • Experience in single-cell genomics analysis or large-scale data analysis.
  • Proficiency in programming languages (R, Python) and cloud computing tools.
  • Familiarity with AI tools and a keen interest in AI tool development.

Responsibilities

  • Support collaborative initiatives to create reference atlases using single-cell genomic data.
  • Apply computational methods to integrate gene expression and epigenetic data from various datasets.
  • Collaborate with team members to interpret biological data and propose follow-up experiments.
  • Learn and apply analytical methods for defining cell types from single-cell data.
  • Contribute to method development for single-cell genomics while guided by team leads.
  • Present findings to the team and assist in preparing manuscripts, grant proposals, and presentations.

Benefits

  • Eligible for medical, dental, vision, and life insurance benefits.
  • Access to a 401k plan.
  • Paid time off as per the organization's guidelines.
  • Opportunity for relocation assistance.
  • Potential for work visa sponsorship.
Full Job Description
Scientist I - Single-cell genomics and bioinformatics - Molecular Genetics

The Molecular Genetics department at the Allen Institute for Brain Science defines cell types in the mouse nervous system with single-cell genomics techniques and generates high-precision genetic tools to effectively identify, monitor, and manipulate distinct neuronal cell types.

We seek an exceptional Scientist I who will work in the Molecular Genetics department on analysis of single-cell transcriptomics and spatial transcriptomics data in the peripheral nervous system. The candidate should have an exceptionally strong background in bioinformatics and single-cell genomics. They will work closely with team members to analyze various types of single-cell genomics data to define neuronal types, interrogate functional connectivity, and help design genetic tools to access these cell types. This individual should be highly efficient, capable of working independently, and collaborative. This individual will be an excellent communicator, efficient in both independent work and collaborations with others.

Essential Functions
  • Support initiatives across the Allen Institute for Brain Science, Allen Institute for Neural Dynamics and Allen Institute for Immunology to create reference atlases for cells in the peripheral nervous system using single-cell genomic data
  • Apply and adapt existing computational and experimental approaches to integrate gene expression and epigenetic information from a variety of single-cell genomic datasets
  • Collaborate with team members to interpret biological findings from data and contribute ideas for follow-up experiments, gaining independence and autonomy over time
  • Learn and apply analytical methods for defining cell types and predicting enhancer activity from single-cell data and for supporting the development of genetic tools that mark distinct functional or anatomical cell types
  • Contribute to computational method development for single-cell genomics, under the guidance of team leads
  • Present research findings regularly to internal team members and stakeholders; contribute to the preparation of manuscripts, grant proposals, and external presentations

Note: Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. This description reflects management's assignment of essential functions; it does not proscribe or restrict the tasks that may be assigned.

Required Education and Experience
  • Ph.D. in Bioinformatics, Genomics, Neuroscience or related field; or equivalent combination of degree and experience
  • Demonstrated experience with single-cell genomics analysis or large-scale data analysis
  • Proficiency in programming languages and tools (R, Python, cloud computing)
  • Proficiency in AI tool use, and interest in AI tool development

Preferred Education and Experience
  • Experience in reproducibly analyzing large single-cell and spatial genomics (transcriptomics, epigenomics, proteomics) datasets
  • Experience integrating spatial data with single-cell genomics approaches
  • Ability to work independently and within a collaborative, multi-disciplinary environment to meet demanding timelines
  • Positive attitude, self-motivated, and demonstrated ability to creatively troubleshoot
  • Proven strong publication record
  • Knowledge of mouse molecular genetics, neuroscience, and neuroanatomy
  • Exceptional oral and written communication and organizational skills

Physical Demands
  • Fine motor movements in fingers/hands to operate computers and other office equipment

Position Type/Expected Hours of Work
  • This role is currently able to work both remotely and onsite in a hybrid work environment. We are a Washington State employer, and the primary work location for all Allen Institute employees is 615 Westlake Ave N.; any remote work must be performed in Washington State.

Travel
  • Attendance and participation in national and international conferences is required

Additional Comments
  • **Please note, this opportunity offers relocation assistance**
  • **Please note, this opportunity may offer work visa sponsorship**

Annualized Salary Range
  • $86,500 - $106,100

* Final salary depends on required education for the role, experience, and level of skills relevant to the role, along with work location, where applicable.

Benefits
  • Employees (and their families) are eligible to enroll in benefits per eligibility rules outlined in the Allen Institute's Benefits Guide. These benefits include medical, dental, vision, and basic life insurance. Employees are also eligible to enroll in the Allen Institute's 401k plan. Paid time off is also available as outlined in the Allen Institute's Benefits Guide. Details on the Allen Institute's benefits offering are located at the following link to the Benefits Guide: https://alleninstitute.org/careers/benefits.

About Allen Institute for Brain Science

The Allen Institute for Brain Science is a division of the Allen Institute, based in Seattle, Washington, that focuses on bioscience research. Founded in 2003, it is dedicated to accelerating the understanding of how the human brain works. With the intent of catalyzing brain research in different areas, the Allen Institute provides free data and tools to scientists. Started with $100 million in seed money from Microsoft co-founder and philanthropist Paul Allen in 2003, the institute tackles projects at the leading edge of science—far-reaching projects at the intersection of biology and technology. The resulting data create free, publicly available resources that fuel discovery for countless researchers. Hongkui Zeng is the director of the institute.
Learn more about Allen Institute for Brain Science

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