Lab Associate Jobs

About The Position

Requirements

• Ph.D. in Computational Biology, Computer Science, Physics, Math, Statistics, or related quantitative fields.
• Strong knowledge of a variety of biological areas of research.
• 0+ years of experience within the field.
• Scientific and numerical programming in Python or R.
• Knowledge of class ML methods and deep learning methods.
• Well versed in a variety of bioinformatic analyses, including Next Generation Sequencing pipelines (single-cell RNA-Seq, single-cell ATAC-Seq, spatial transcriptomics analyses etc.).
• Excellent critical thinking, research, and analytical skills.
• Excellent communication and interpersonal skills and the ability to work with biologists, computational biologists, data scientists, and software engineers.
• Must be able to work independently as well as part of a team in a fast-paced, highly collaborative environment.
• Demonstrated ability to carry out a variety of tasks in parallel, recognize and solve problems effectively, and shift priorities rapidly.

Nice To Haves

• Significant contributions to their area of study, as evidenced by a strong publication record.
• Creative and highly motivated individuals who want to work in a dynamic, multi-disciplinary research environment.
• Excellent technical expertise while being driven to make a biological impact.

Responsibilities

• Oversee data generation and data analysis across various internal and external collaborations, including datasets such as single-cell RNA-Seq, single-cell ATAC-Seq, spatial transcriptomics, proteomics, metabolomics, and/or microbiome data.
• Demonstrate flexibility to execute tasks requiring various skill levels and learn new skills as needed.
• Perform analyses using current processes and identify, propose, and implement improvements to ensure output of high-quality datasets.
• Work with other team members and leadership to plan project requirements and timelines, shift priorities as needed, and efficiently execute project tasks.
• Identify and help solve methodological problems, including adjustments to experimental and computational protocols to ensure generation of high-quality datasets suited to answer core biological questions.
• Use single cell and spatial transcriptomic approaches to understand tissue organization and how they are altered in disease environments such as chronic inflammation.
• Use a systems medicine approach to understand inflammatory and other diseases.
• Develop novel methods to facilitate exploration of unstructured datasets.
• Write well-crafted, maintainable, scalable, and performant code.
• Lead and carry out projects with minimal supervision.
• Participate in writing papers and grant proposals.
• Present project progress during group meetings.

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• Life insurance
• Disability insurance
• 401(k) retirement plan
• Flexible spending accounts
• Health savings accounts
• 13 paid holidays
• Winter closure
• Paid time off
• Parental and family care leave
• Employee assistance program