(Senior) Epigenetics Computational Biologist

We are currently looking to hire a (senior) Epigenetics Bioinformatician / Computational Biologist to analyze and mine genome-wide datasets (such as single cell multiomics, ATAC-seq data, CUT&TAG, CUT&RUN, ChIP-seq, and EMseq data) to find insights into stem cell & ovarian cell biology. You will work closely with a talented group of biologists on a broad range of projects. Routine work includes data set processing, qc assessment, differential expression, pathway analyses, motif analysis, regulatory network inference, and boutique analyses where the biology leads. Understanding how to interpret complex low input datasets for biological utility and translate findings back to the bench is a key skill. You will collaborate broadly with biologists to identify ways the computational data can be leveraged to generate 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.

Our mission

Conception is a startup with the mission of generating viable human eggs from induced pluripotent stem cells (iPSCs). Successful development of our research could have many benefits, such as removing age limits on motherhood, allowing for easy screening of eggs with harmful genetic mutations, and allowing same-sex couples to reproduce. This has been done in mice, and now we are working to translate it to humans.

Our research

To accomplish our goal, we must derive human germ cells from iPSCs (human germ cell-like cells, hPGCLCs) that resemble both the transcriptional and epigenetic profile of in vivo germ cells (PGCs) that are able to enter meiosis and develop to viable human eggs. We create ovarian organoids from primary cells and stem cell derived cells to help the eggs develop properly.

Tasks & responsibilities:

Collaborate with biology teams to independently perform team-specific projects using both in-house & publicly available data

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

Assess the literature for interesting new analysis methods in epigenetics and progress in the fields of stem- and germ cell biology

Required skills/experience:

PhD in epigenetics, computational biology, genomics, systems biology or related field + 1-5 years of industry experience.

5+ years of experience analyzing and interpreting epigenetics data & translating insights into actionable progress at the bench

Experiencing leading epigenetics-based projects as evidenced by a strong publication record

Highly proficient in R, python, and bash

Excellent data analysis skills

Strong ability to devise, scope, and execute data analyses independently

Highly proficient in analyzing ATAC and multiomics datasets, ChIP-seq or CUT&TAG datasets, etc

Proficiency in versioning and collaborative coding via git

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

Preferred skills/experience:

Prior experience with iPSC derivation & germ cell biology preferred

Knowledge of relevant bench techniques is beneficial

Experience leveraging deep learning tools in multiomics is preferred

Come and work with us

We are well-funded and connected in Silicon Valley, offering competitive pay, equity, excellent healthcare benefits, and a collaborative research environment focused on meaningful results.

If you are passionate, hardworking, and aligned with our mission, we want to hear from you!

To learn more about us, our mission, and approach you can read two features published by The New Yorker and MIT Technology Review.