Bioinformatics Scientist The Science Team at Russell Tobin is supporting a leading biotech company that has an opening for a Bioinformatics Scientist in Tucson, AZ. This role requires a broad understanding of bioinformatic analysis across diverse technologies, including NGS, scRNA-seq, and multi-omics. The successful candidate will collaborate closely with wet lab scientists, internal stakeholders, and academic collaborators to design, implement, and maintain internal algorithms and tools. Collaborate with multidisciplinary teams of molecular and computational biologists, as well as wet lab scientists, to design, optimize, and troubleshoot advanced high-throughput sequencing scRNAseq experiments. Contribute bioinformatics expertise throughout the assay development lifecycle, including initial sequencing, validation, and production implementation, by developing and maintaining analytical tools and pipelines for processing diagnostic data from disease, germline, and cell-free DNA samples. Create, implement, and streamline bioinformatics tools and workflows in partnership with wet lab scientists to enhance assay development efficiency and data quality. Provide hands‑on troubleshooting to ensure data quality, integrity, and accessibility across the diagnostic workflow, while addressing the needs of internal and external stakeholders through scientific and business analyses. Advocate for best practices in documenting, training, and scaling algorithms, tools, and workflows to ensure reproducibility and scalability. Communicate project outcomes and team progress across various teams and organizational functions to promote alignment and collaboration. Bioinformatics Scientist The Science Team at Russell Tobin is supporting a leading biotech company that has an opening for a Bioinformatics Scientist in Tucson, AZ. Responsibilities: This role requires a broad understanding of bioinformatic analysis across diverse technologies, including NGS, scRNA-seq, and multi-omics. The successful candidate will collaborate closely with wet lab scientists, internal stakeholders, and academic collaborators to design, implement, and maintain internal algorithms and tools. Collaborate with multidisciplinary teams of molecular and computational biologists, as well as wet lab scientists, to design, optimize, and troubleshoot advanced high-throughput sequencing scRNAseq experiments. Contribute bioinformatics expertise throughout the assay development lifecycle, including initial sequencing, validation, and production implementation, by developing and maintaining analytical tools and pipelines for processing diagnostic data from disease, germline, and cell-free DNA samples. Create, implement, and streamline bioinformatics tools and workflows in partnership with wet lab scientists to enhance assay development efficiency and data quality. Provide hands‑on troubleshooting to ensure data quality, integrity, and accessibility across the diagnostic workflow, while addressing the needs of internal and external stakeholders through scientific and business analyses. Advocate for best practices in documenting, training, and scaling algorithms, tools, and workflows to ensure reproducibility and scalability. Communicate project outcomes and team progress across various teams and organizational functions to promote alignment and collaboration. Requirements: Required: You have a Bachelor's Degree and 7+ years of experience Preferred: You have a PhD in Bioinformatics, Computational Biology, Statistics, or a related field with 2 years of industry experience in clinical diagnostics or a related domain, or a Master's degree in Bioinformatics, Computational Biology, Statistics, or a related field with 5 years of industry experience in clinical diagnostics or a related domain You have expertise in DNA/RNA sequencing as well as scRNA-seq data analysis and interpretation. You have hands‑on experience with 10X Genomics analysis workflows You have a strong understanding of molecular biology principles and hands‑on familiarity with next‑generation sequencing laboratory processes. Behaviors, competencies, and qualities of the ideal applicant: You are proficient in programming in R and/or Python, with experience working in a distributed Linux environment. (Proficiency in C++ or Java is a plus) You are proficient in creating clear, insightful visualizations of complex biological data, with strong presentation skills. Additional Details: Location Model: hybrid (3 days onsite in Tucson, AZ, and 2 days remote) Schedule: Monday-Friday (40 hours/week) Position Type: contract - approved up to 3 years Pay range: $45-65/HR, depending on experience Equal Employment Opportunity PrideGlobal and it's affiliates are an equal opportunity employer. We do not discriminate on the basis of the race, religious creed, color, national origin, ancestry, physical disability, mental disability, reproductive health decision making, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other characteristic protected by applicable federal, state, or local law. Fair Chance Employment PrideGlobal and it's affiliates are a Fair Chance employer. We consider all qualified applicants, including those with criminal histories, in a manner consistent with applicable state and local Fair Chance laws and ordinances, including, the California Fair Chance Act and all applicable local Fair Chance ordinances. Accommodations We are committed to providing reasonable accommodations to applicants and employees with disabilities. If you require a reasonable accommodation to participate in the application or interview process, or to perform the essential functions of this role, please contact us. Only applicable for San Francisco Candidates: Under the San Francisco Lactation in the Workplace Ordinance, we will provide written notice of lactation accommodation rights, and this notice will automatically be given upon hiring, any inquiry of parental leave or lactation accommodation. Only applicable for Kentucky positions: For this type of employment, state law requires a criminal record check as a condition of employment. This applies to direct care staff (Examples: RN, LPN, Nurse Aides, Therapists) referred to Kentucky nursing facilities, assisted living communities, or long‑term care facilities, in accordance with KRS 216.793. #J-18808-Ljbffr
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