Senior Bioinformatics Analyst

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The Department of Hematology e Children's Research Hospital is seeking a highly motivated Senior Bioinformatics Analyst to join our research team focused on exploring the genetics of sickle cell disease. While sickle cell disease is a monogenic disorder, clinical outcomes vary across affected individuals, at least in part due to other genetic factors, many of which are yet to be discovered.

The Senior Bioinformatics Analyst will have the opportunity to contribute to many projects aimed at elucidating the genetic etiology of sickle cell disease-related outcomes, including project conception, data analysis, and manuscript preparation. Specific responsibilities may include developing, evaluating, and/or implementing analytic, data visualization, and statistical approaches for genomics analyses. We are seeking candidates with expertise in identifying factors that modify disease risk or progression, treatment responsiveness, or survivorship.

Candidates with a strong background in statistical genetics, genetic epidemiology, or bioinformatics are highly encouraged to apply for this position. Excellent communication skills are essential.

Our group is multidisciplinary, with collaborations across departments within St. Jude Children's Research Hospital, including the Center for Applied Bioinformatics and the Department of Biostatistics, allowing for cross-training and mentorship opportunities. As part of the Sickle Cell Clinical Research & Intervention Program, our group has access to rich longitudinal phenotypic data, and we have several ongoing and potential projects to examine the association between genetic variation and various clinical outcomes, including pain, renal function, and cognitive function.

This position will also have access to state-of-the-art High Performance Computing systems. Additionally, there will be opportunity for collaboration with external scientists, as we are part of a multi-institutional effort to evaluate the genetics of sickle cell disease, including assessing germline genetic factors as well as characterizing the prevalence and consequence of clonal hematopoiesis (acquired somatic mutations) in individuals with sickle cell disease.

• Collaborate with scientists across and outside the institution to develop and test hypotheses regarding the genetic modifiers of sickle cell disease.
• Analyze genetic data with minimal supervision by performing advanced analysis, including quality control, data cleaning, statistical evaluation, and visualization.
• Conduct genome-wide association studies (GWAS) and downstream and related analyses including transcriptome-wide association studies (TWAS).
• Assist with project reports, presentations to diverse groups, and manuscripts.
• Communicate findings clearly to technical and non-technical audiences.
• Participate in the development and implementation of procedures to obtain new datasets.
• Stay current on literature and routinely evaluate and integrate new analytical tools.

• Bachelor's degree in statistical genetics, genetic epidemiology, biostatistics, bioinformatics, computational biology, or statistics/computer science/data science (with a background in biological sciences) or related field. Master's degree preferred.

• Minimum Requirement: 4+ years of relevant experience required.
• Experience Exception:
  Master's degree and 1+ years of relevant experience.
• Experience in at least one programming or scripting language and at least one statistical package, with R preferred.

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