(Senior) Epigenetics Computational Biologist

Position Overview

• Location Type: Remote
• Job Type: Full-Time
• Salary: Not specified
• Company: Conception
• Mission: To generate viable human eggs from induced pluripotent stem cells (iPSCs).

Conception is a startup focused on developing research to remove age limits on motherhood, screen eggs for genetic mutations, and enable same-sex couples to reproduce. The company is working to derive human germ cells from iPSCs that resemble in vivo germ cells and develop ovarian organoids to aid egg development.

Requirements

• Education: PhD in epigenetics, computational biology, genomics, systems biology, or related field.
• Industry Experience: 1-5 years of industry experience.
• Epigenetics Data Experience: 5+ years of experience analyzing and interpreting epigenetics data and translating insights into actionable progress at the bench.
• Publication Record: Strong publication record demonstrating leadership in epigenetics-based projects.
• Technical Skills:
  • Highly proficient in R, Python, and Bash.
  • Strong data analysis skills.
  • Proficiency in versioning and collaborative coding via Git.
  • Experience with a high-performance computing cluster and/or cloud computing environment.
• Data Analysis Expertise: Highly proficient in analyzing ATAC and multiomics datasets, ChIP-seq or CUT&TAG datasets.

Responsibilities

• Collaborate with biology teams to independently perform team-specific projects using both in-house & publicly available data.
• Functionally interact with Conception’s computational infrastructure (databases, automated pipelines, HPC cluster, etc.).
• Contribute to team code bases, using best practices for documentation and version control.
• Assess the literature for interesting new analysis methods in epigenetics and progress in stem- and germ cell biology.
• Translate computational findings into testable hypotheses and experimental designs.
• Work closely with biologists to identify ways computational data can be leveraged to generate new hypotheses and scientific directions.
• Perform data set processing, QC assessment, differential expression, pathway analyses, motif analysis, regulatory network inference, and boutique analyses.

Preferred Skills/Experience

• Prior experience with iPSC derivation & germ cell biology.
• Knowledge of relevant bench techniques.
• Experience leveraging deep learning tools in multiomics.

Application Instructions

• To learn more about the company, mission, and approach, refer to features published by The New Yorker and MIT Technology Review.