Bioinformatics Analyst I

Details

Posted: 04-Apr-24

Location: Seattle, Washington

Type: Full-time

Salary: Open

Categories:

Staff/Administrative

Internal Number: 27388

Overview

Fred Hutchinson Cancer Center is an independent, nonprofit organization providing adult cancer treatment and groundbreaking research focused on cancer and infectious diseases. Based in Seattle, Fred Hutch is the only National Cancer Institute-designated cancer center in Washington.

With a track record of global leadership in bone marrow transplantation, HIV/AIDS prevention, immunotherapy and COVID-19 vaccines, Fred Hutch has earned a reputation as one of the world's leading cancer, infectious disease and biomedical research centers. Fred Hutch operates eight clinical care sites that provide medical oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover new cures to the world's deadliest diseases and make life beyond cancer a reality.

At Fred Hutch we value collaboration, compassion, determination, excellence, innovation, integrity and respect. These values are grounded in and expressed through the principles of diversity, equity and inclusion. Our mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems. Fred Hutch is in pursuit of becoming an anti-racist organization. We are committed to ensuring that all candidates hired share our commitment to diversity, anti-racism and inclusion.

The Bioinformatics Analyst I provides highly specialized consulting and data analysis services to researchers at the Hutch and across the wider Fred Hutch/UW Cancer Consortium. This position requires the ability to work independently, manage multiple overlapping demands, and communicate effectively with faculty, and research staff on a wide range of topics in biology, and data science.

The Gujral lab at the Fred Hutch has an opening for a Computational Scientist with experience in biological sciences/biotechnology. This position will work with members of the laboratory of Dr. Taran Gujral in the Division of Human Biology to embark on an exciting journey to tackle some of the most burning issues in infectious cancer etiology, cancer treatment, metastasis, and drug resistance, through an approach which combines cutting edge computational methods and focused biology studies in cell lines and animal models. The project's overall goal is to understand interactions between cancer cells and immune cells.

Responsibilities

• The candidate is expected to work independently with direction from the PI. This position sits in the laboratory space for a highly collaborative environment.
• The candidate will work to perform large-scale analysis of transcriptomics (RNAseq, single-cell RNAseq)or epigenetic datasets that are either generated in the Gujral lab or publicly available. This will entail:
• Processing, aligning, and loading the datasets in appropriate programs (R or Python)
• Displaying the data, and generating data-driven hypotheses, which will be tested in the lab.
• Some analyses will include non-linear modeling such as neural networks, statistical modeling such as regression, and image analysis.
• The candidate will present these findings in the lab meetings and are expected to contribute data figures for the manuscript/grant preparation.

Qualifications

MINIMUM QUALIFICATIONS:

• BS degree in Biology, Statistics, Computer Science or related field with 0-2 years of work experience with bioinformatics in the relevant scientific domain.
• Proficiency in, at least, one modern scripting or programming language (Python, R, Node, orC++)

PREFERRED QUALIFICATIONS:

• Ability to learn new tools and content quickly and independently.
• Direct experience must include best-practice germline & somatic variant calling from exomecapture data, analysis of bulk RNA-seq data with multiple contrasts, analysis of multimodal single-cell profiling data, gene set enrichment, and integration of data across multiple modalities (e.g., epigenetic profiling and RNA-seq).
• Effective use of shell scripting and significant fluency in R and Python are essential.
• Facility with commonly used Bioconductor packages, ggplot etc. Ability to generate and customize common data visualizations (PCA plots, volcano plots, Circos plots, etc).
• Excellent written and verbal communication skills are absolutely required.
• Good numeracy, literacy, and organizational skills.

A statement describing your commitment and contributions toward greater diversity, equity, inclusion, and antiracism in your career or that will be made through your work at Fred Hutch is requested of all finalists.

The annual base salary range for this position is from $67,728.00 to $99,236.80 and pay offered will be based on experience and qualifications. This position may be eligible for relocation assistance.

Fred Hutchinson Cancer Center offers employees a comprehensive benefits package designed to enhance health, well-being, and financial security. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, tuition reimbursement, paid vacation (12-22 days per year), paid sick leave (12-25 days per year), paid holidays (13 days per year), paid parental leave (up to 4 weeks), and partially paid sabbatical leave (up to 6 months).

Our Commitment to Diversity
We are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. We are committed to cultivating a workplace in which diverse perspectives and experiences are welcomed and respected. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability (physical or mental), marital or veteran status, genetic information, sexual orientation, gender identity, political ideology, or membership in any other legally protected class. We are an Affirmative Action employer. We encourage individuals with diverse backgrounds to apply and desire priority referrals of protected veterans. If due to a disability you need assistance/and or a reasonable accommodation during the application or recruiting process, please send a request to Human Resources at [email protected] or by calling 206-667-4700.