(Senior) Epigenetics Computational Biologist
(Senior) Epigenetics Computational Biologist
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Job Description
We are currently looking to hire a (senior) Epigenetics Bioinformatician / Computational Biologist to analyze and mine genomewide datasets (such as single cell multiomics ATACseq data CUT&TAG CUT&RUN ChIPseq 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 samesex 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 celllike 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 teamspecific projects using both inhouse & 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 15 years of industry experience.
5 years of experience analyzing and interpreting epigenetics data & translating insights into actionable progress at the bench
Experiencing leading epigeneticsbased 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 ChIPseq 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 wellfunded 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.
Employment Type
Full-Time
