Computational Biologist / Bioinformatician - Remote

Overview

We are currently looking to hire a Bioinformatician / Computational Biologist to analyze and mine genome-wide next generation sequencing datasets (such as single cell and bulk RNAseq data, ATAC-seq data, etc) to gain insights into stem cell & ovarian cell biology. You will collaborate closely with a group of talented bioinformaticians to deliver scientific results and data visualizations, as well as with bench scientists to analyze ‘omics data for a broad range of projects. Routine work includes running and maintaining automated bioinformatics pipelines, which include QC assessments, differential expression and data visualization components. Understanding how to interpret complex low input datasets for biological utility and translate findings back to the bench is a key requirement. You will collaborate broadly with biologists to identify ways in which to leverage our computational data towards new hypotheses and scientific directions that can then be tested in the lab. Your work would include many opportunities to find custom solutions to interesting biological problems.

In Short

• Functionally interact with core Conception computational infrastructure including databases, automated pipelines, HPC cluster, etc
• Contribute to team code bases, using best practices for documentation and version control
• Work with biology teams to independently perform team-specific analysis projects using both in-house & publicly available data

Requirements

• PhD in computational biology, genomics, systems biology or related field or masters + 1-3 years of industry experience.
• Highly proficient in R, python, and bash
• Highly proficient in analyzing RNA-seq data, including experience with single cell RNAseq packages/workflows/algorithms.
• Excellent foundational data analysis skills (understand how to clean/QC data, grasp of basic statistical principles, generate hypotheses and 'smell test' data before returning a result)
• Highly proficient in building and running automated preprocessing workflows for a variety of data types including (sc)RNAseq or ATAC-seq
• Proficiency in versioning and collaborative coding via git
• Strong ability to devise, scope, and execute data analyses independently
• Prior experience translating computational findings into testable hypotheses and experimental designs
• Strong communication skills, particularly with diverse audiences
• Prior experience with a high performance computing cluster and/or cloud computing environment

Benefits

• Competitive pay
• Equity
• Excellent healthcare benefits
• Collaborative research environment focused on meaningful results