About this Senior Computational Research Scientist role at St. Jude Children's Research Hospital
About the lab and St. Jude:
Recognized for state-of-the-art computational infrastructure, well-established analytical pipelines, and deep genomic analysis expertise, St. Jude offers a work environment where you will impact the future care of pediatric cancer patients. As a Senior Computational Research Scientist, your responsibilities include analyzing data generated from a variety of second- and third-generation sequencing applications that interrogate gene regulatory biology in health and disease.
The Abraham lab studies gene expression-regulation mechanisms. We are recruiting computational biologists to collaboratively develop software approaches to analyze high-throughput sequencing (-omic) data. We build analytical software pipelines to find answers to biological questions about gene regulation in genome-wide datasets, usually from applied sequencing experiments like CUT&RUN, RNA-Seq, and Hi-ChIP, as well as single-cell omic experiments. Our interests center on enhancers, super-enhancers and core transcriptional regulatory circuits. Specifically, we seek to understand how these regulatory elements establish gene expression programs in healthy cells, and how enhancers are altered by mutation, abused by mistargeting, and targetable with drugs in diseased cells. We characterize the specific core regulatory circuitries driving disease-relevant cells and seek to understand how mutations in the non-coding DNA of such cells can drive disease, including cancers, through gene misregulation.
The successful candidate will become a fundamental component of a multidisciplinary, inter-institutional team assembled to study how gene expression regulation meaningfully differs between normal and pediatric cancer cells. The successful candidate will operate as a superdoc-type contributor who leads research projects within the laboratory with increasing independence in daily operation.
Ideal candidates will have experience building, tailoring, and deploying analysis pipelines using widely available genomic analysis toolkits (e.g. bedtools, samtools, HiCPro), as well as experience managing large numbers of datasets. The successful candidate will be tasked with collaborative research within and beyond the lab, so strong communication and interpersonal skills are essential. Additional experience in the fundamental understanding of gene expression mechanisms (e.g. transcription factors, enhancers, genome structure, and transcriptional condensates), and experience building succinct, clear figures using R are preferred.
The Department of Computational Biology provides access to high-performance computing clusters, a cloud computing environment, innovative visualization tools, highly automated analytical pipelines, and mentorship from faculty scientists with experience in data analysis, data management, and delivery of high-quality results for competitive projects. We encourage first-author, high-profile publications to share this element of discovery. Take the first step to joining our team by applying now!
Relevant Papers:
Adetunji MO, Abraham BJ. SEAseq: a portable and cloud-based chromatin occupancy analysis suite. BMC Bioinformatics. 2022 Feb 23; PMID: 35193506.
Hnisz D, Abraham BJ, Lee TI, Lau A, Saint-André V, Sigova AA, Hoke HA, Young RA. Super-enhancers in the control of cell identity and disease. Cell. 2013 Nov 7;155(4):934-47. doi: 10.1016/j.cell.2013.09.053. Epub 2013 Oct 10. PubMed PMID: 24119843
Lv J, Maher KA, Dong L, Valentine V, Staller S, Veluchamy A, Tian L, Kim Y, Ju B, Valentine M, Easton J, Pounds SB, Burden S, Abraham BJ. 3D-super-enhancers are condensate-associated cis-regulatory communities. Nucleic Acids Research. 2026 Feb 24;54(5):gkag191.doi: 10.1093/nar/gkag191. PMID: 41797539 PMCID: PMC12968393
Prutsch N, He S, Berezovskaya A, Durbin AD, Dharia NV, Maher KA, Matthews JD, Hare L, Turner SD, Stegmaier K, Kenner L, Merkel O, Look AT, Abraham BJ, Zimmerman MW. STAT3 couples activated tyrosine kinase signaling to the oncogenic core transcriptional regulatory circuitry of anaplastic large cell lymphoma.
Cell Rep Med. 2024 Mar 19;5(3):101472. doi: 10.1016/j.xcrm.2024.101472. PMID: 38508140
Weichert-Leahey N, Zimmerman MW, Berezovskaya A, Look AT, Abraham BJ. Accurate Measurement of Cell Number-Normalized Differential Gene Expression in Cells Treated With Retinoic Acid. Bio Protoc. 2024 Nov 5;14(21):e5106. doi: 10.21769/BioProtoc.5106. eCollection 2024 Nov 5. PMID: 39525967; PMCID: PMC11543784
Zimmerman MW, Durbin AD, He S, Oppel F, Shi H, Tao T, Li Z, Berezovskaya A, Liu Y, Zhang J, Young RA, Abraham BJ, Look AT. Retinoic acid rewires the adrenergic core regulatory circuitry of childhood neuroblastoma. Science Advances. 2021 Oct 22; PMID: 34669465.
Position Responsibilities:
- Lead computationally focused scientific research projects with increasing independence over time.
- Collaborate on project and analysis design under the guidance of multiple invested PIs.
- Set personal task-level priorities across multiple interconnected projects.
- Develop new computational methods, especially pertaining to regulatory circuitry controlling pediatric cancers.
- Apply and integrate field-standard omics pipelines for similar technologies, e.g. ChIP-Seq/CUT&RUN/CUT&TAG, ATAC-seq, HiChIP/HiC, bulk/single-cell RNA-seq.
- Adhere to field and lab standards for data analysis.
- Identify, process, organize, interpret, review, and report relevant data.
- Direct data collection.
- Present research to colleagues within and outside the institution; draft a complex manuscript with minimal supervision, as required.
- Perform other duties as assigned to meet the goals and objectives of the department and institution.
- Maintain regular and predictable attendance, especially in-person attendance at meetings and relevant presentations.
Minimum Education and/or Training:
- Bachelor's degree in Bioinformatics, Molecular Biology, Biochemistry, Computer Science, or related field.
- Master's degree or PhD strongly preferred.
Minimum Experience
- Minimum Requirement: Bachelor's degree and 7+ years of relevant experience.
- Experience Exception: Master's degree and 5+ years of relevant experience (OR) PhD with 2+ years of relevant experience.
- Rough criteria for this position based on publication output: 1-2 first author papers IF > 10 (or equivalent contribution to other research outputs).
- Prior experience in computational research techniques and processes.
- Proven performance in earlier role/comparable role.
- undefined
Special Skills, Knowledge, and Abilities:
Required:
- Applicants with a PhD in a quantitative and biologically oriented field (computational biology, bioinformatics, systems biology, genetics/genomics, statistics, mathematics, computer science, or related fields) are especially encouraged to apply.
- Strong candidates from a primarily wet-lab or clinical background who wish to further develop sophisticated quantitative skills will also be considered. Such applications would be strengthened by displaying significant coding experience.
- Successful candidates will have a track record of scientific productivity, e.g., a first author paper, or a demonstrable contribution to a large project. Experience in chromatin and expression analysis technologies is strongly desired.
- undefined
Preferred:
- Experience with applied high-throughput sequencing analysis methods, including but not limited to alignment, coverage quantification, differential coverage statistics, and multi-omic integration.
About the lab and St. Jude:
Recognized for state-of-the-art computational infrastructure, well-established analytical pipelines, and deep genomic analysis expertise, St. Jude offers a work environment where you will impact the future care of pediatric cancer patients. As a Senior Computational Research Scientist, your responsibilities include analyzing data generated from a variety of second- and third-generation sequencing applications that interrogate gene regulatory biology in health and disease.
The Abraham lab studies gene expression-regulation mechanisms. We are recruiting computational biologists to collaboratively develop software approaches to analyze high-throughput sequencing (-omic) data. We build analytical software pipelines to find answers to biological questions about gene regulation in genome-wide datasets, usually from applied sequencing experiments like CUT&RUN, RNA-Seq, and Hi-ChIP, as well as single-cell omic experiments. Our interests center on enhancers, super-enhancers and core transcriptional regulatory circuits. Specifically, we seek to understand how these regulatory elements establish gene expression programs in healthy cells, and how enhancers are altered by mutation, abused by mistargeting, and targetable with drugs in diseased cells. We characterize the specific core regulatory circuitries driving disease-relevant cells and seek to understand how mutations in the non-coding DNA of such cells can drive disease, including cancers, through gene misregulation.
The successful candidate will become a fundamental component of a multidisciplinary, inter-institutional team assembled to study how gene expression regulation meaningfully differs between normal and pediatric cancer cells. The successful candidate will operate as a superdoc-type contributor who leads research projects within the laboratory with increasing independence in daily operation.
Ideal candidates will have experience building, tailoring, and deploying analysis pipelines using widely available genomic analysis toolkits (e.g. bedtools, samtools, HiCPro), as well as experience managing large numbers of datasets. The successful candidate will be tasked with collaborative research within and beyond the lab, so strong communication and interpersonal skills are essential. Additional experience in the fundamental understanding of gene expression mechanisms (e.g. transcription factors, enhancers, genome structure, and transcriptional condensates), and experience building succinct, clear figures using R are preferred.
The Department of Computational Biology provides access to high-performance computing clusters, a cloud computing environment, innovative visualization tools, highly automated analytical pipelines, and mentorship from faculty scientists with experience in data analysis, data management, and delivery of high-quality results for competitive projects. We encourage first-author, high-profile publications to share this element of discovery. Take the first step to joining our team by applying now!
Relevant Papers:
Adetunji MO, Abraham BJ. SEAseq: a portable and cloud-based chromatin occupancy analysis suite. BMC Bioinformatics. 2022 Feb 23; PMID: 35193506.
Hnisz D, Abraham BJ, Lee TI, Lau A, Saint-André V, Sigova AA, Hoke HA, Young RA. Super-enhancers in the control of cell identity and disease. Cell. 2013 Nov 7;155(4):934-47. doi: 10.1016/j.cell.2013.09.053. Epub 2013 Oct 10. PubMed PMID: 24119843
Lv J, Maher KA, Dong L, Valentine V, Staller S, Veluchamy A, Tian L, Kim Y, Ju B, Valentine M, Easton J, Pounds SB, Burden S, Abraham BJ. 3D-super-enhancers are condensate-associated cis-regulatory communities. Nucleic Acids Research. 2026 Feb 24;54(5):gkag191.doi: 10.1093/nar/gkag191. PMID: 41797539 PMCID: PMC12968393
Prutsch N, He S, Berezovskaya A, Durbin AD, Dharia NV, Maher KA, Matthews JD, Hare L, Turner SD, Stegmaier K, Kenner L, Merkel O, Look AT, Abraham BJ, Zimmerman MW. STAT3 couples activated tyrosine kinase signaling to the oncogenic core transcriptional regulatory circuitry of anaplastic large cell lymphoma.
Cell Rep Med. 2024 Mar 19;5(3):101472. doi: 10.1016/j.xcrm.2024.101472. PMID: 38508140
Weichert-Leahey N, Zimmerman MW, Berezovskaya A, Look AT, Abraham BJ. Accurate Measurement of Cell Number-Normalized Differential Gene Expression in Cells Treated With Retinoic Acid. Bio Protoc. 2024 Nov 5;14(21):e5106. doi: 10.21769/BioProtoc.5106. eCollection 2024 Nov 5. PMID: 39525967; PMCID: PMC11543784
Zimmerman MW, Durbin AD, He S, Oppel F, Shi H, Tao T, Li Z, Berezovskaya A, Liu Y, Zhang J, Young RA, Abraham BJ, Look AT. Retinoic acid rewires the adrenergic core regulatory circuitry of childhood neuroblastoma. Science Advances. 2021 Oct 22; PMID: 34669465.
Compensation
In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current salary range is $104,000 - $186,160 per year for the role of Senior Computational Research Scientist.Explore our exceptional benefits!
We are committed to a human-centered hiring experience. Technology may support portions of our process, but recruiting decisions involve human review and engagement. Learn more about our approach to AI.
St. Jude is an Equal Opportunity Employer
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