149 Data Scientist I Jobs in Seattle, WA
Fred Hutch is Hiring a Data Scientist I Near Seattle, WA
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.
A computational scientist position (full-time/fully in-person) at the Bioinformatics Analyst II level is available immediately within The Laboratory for the Study of Metastatic Microenvironments , led by Cyrus Ghajar. The successful candidate will build novel pipelines to uncover clonal and phylogenetic relationships between primary breast tumors and their disseminated seeds. They will apply expertise to integrate different sequencing datasets. They will customize and apply single cell sequencing analyses.
They will also launch a new research endeavor focused entirely on the application of spatial transcriptomics to enumerate, define and transform cellular microenvironments – or niches – within tissues. To do so, they will work closely with members of the Ghajar Laboratory to generate ideal tissue specimens, and profile them using state-of-the-art approaches. They will innovate computational methods to analyze single cell and spatial transcriptomic data, and to visualize these data. And, they will contribute significantly to publications and funding applications showcasing this work.
This is an onsite role working at our Seattle, WA location. ResponsibilitiesThe Data Scientist (DS) will work under the PI and with laboratory members to:
- Conduct integrative analysis of bulk and single cell tumor datasets, using genetic signatures to establish clonal relationships between the primary tumor and its disseminated seeds.
- Analyze tissue scale spatial transcriptomic datasets spanning liver, brain, bone marrow and other normal and disseminated tumor cell bearing tissues. Trial multiple workflows and develop custom models to characterize niches, niche constituents, and niche occupancy based on protein and transcript expression.
- Adopt and develop data visualization approaches necessary to display single cell transcriptomic and spatial data thoughtfully and intuitively.
- Partner with researchers to collectively define the best experiments and conditions to generate data from, and to test hypotheses shaped by these data.
- Independently generate figures and written sections to document methods and results for manuscripts, presentations, and grant applications.
- Drive publications resulting from the analyses described above.
- Conduct best programming practices such as version control, annotation, data organization, etc, and work towards standardized analysis pipelines for the laboratory. Provide training and support as lab members analyze and interpret results.
Minimum Qualifications
- Master’s degree or PhD in bioinformatics, statistics, computational biology, genetics, data science or related field with at least two years’ direct experience in computational analysis of large single cell sequencing-based molecular data sets.
- Experience with programming in support of a laboratory data management and analysis, clinical trials or statistical programming in a clinical research setting.
- Knowledge of immunology laboratory methods (immunoassays, flow cytometry).
- Proficiency in R and/or Python and version control (Git, GitHub, etc.).
- Demonstrated ability to generate and customize common data visualizations (UMAP/t-SNE, volcano plots, Circos plots, etc).
- Excellent communication skills (both written and verbal) and critical thinking skills are essential.
- PhD in bioinformatics, statistics, computational biology, genetics, data science or related field
- Direct experience can include phylogenetic analysis of evolution on a cellular scale, analysis of single cell RNA-seq data with multiple contrasts, development of custom data visualization approaches, analysis of single cell multi-ome data, integration of data across multiple modalities (e.g., epigenetic profiling and RNA-seq), and so forth.
- Demonstrated experience with integrating large single cell datasets, as evidenced by contributing authorship on peer-reviewed publication(s).
- Experience with larger-scale cancer genomics, epigenomics and transcriptomic data, as evidenced by contributing authorship on peer-reviewed publication(s).
- Experience with MHC binding prediction algorithms.
- Some exposure to high-dimensional spatial data sets.
- Skilled at data visualization and complex statistical analysis.
- Ability to learn new tools and content quickly and independently.
- Ability to work independently and in a team.
- Familiarity with commonly used Bioconductor packages.
This position is eligible for a sign on bonus and relocation.
The annual base salary range for this position is from $93,101 to $139,630 and pay offered will be based on experience and qualifications.
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 (22 days per year), paid sick leave (up to 30 calendar days per occurrence of a qualifying reason), paid holidays (up to 13 days per year), paid parental leave (up to 4 weeks), and partially paid sabbatical leave (up to 12 months for professor track faculty, up to 6 months for other scientific staff).
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 hrops@fredhutch.org or by calling 206-667-4700.
Job Summary
Full Time
Professional Associations
$78k-95k (estimate)
06/29/2024
07/27/2024
fredhutch.orgen.html
SEATTLE, WA
3,000 - 7,500
1975
NGO/NPO/NFP/Organization/Association
ANAJANE SMITH
<$5M
Professional Associations
Related Companies
About Fred Hutch
Fred Hutch is a non-profit organization that provides treatment for non-communicable diseases such as cancer and tumors.
The job skills required for Data Scientist I include Analysis, Data Science, Python, Programming, Leadership, Innovation, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Scientist I. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Scientist I. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Data Scientist I positions, which can be used as a reference in future career path planning. As a Data Scientist I, it can be promoted into senior positions as a Data Scientist II that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Scientist I. You can explore the career advancement for a Data Scientist I below and select your interested title to get hiring information.
If you are interested in becoming a Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Scientist for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Scientist job description and responsibilities
Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.
12/22/2021: Dallas, TX
Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.
02/17/2022: Lompoc, CA
A data scientist develops software to structure the raw data.
02/16/2022: Lansing, MI
Data scientist will need to meet with their business stakeholders early and often to ensure that they are on the same page about the goals and deliverables of the project.
02/12/2022: San Diego, CA
Data scientists may spend some of their time working on ad hoc data requests, but these types of requests should only take up a small portion of their time.
02/01/2022: Peoria, IL
Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Scientist jobs
Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.
01/31/2022: Passaic, NJ
Data scientists lay a solid foundation to help perform all kinds of analysis.
01/31/2022: Champaign, IL
Data scientists are also expected to have stronger software engineering skills that data analysts.
02/19/2022: Springfield, OR
Business analysts are focused on reporting, just like data analysts.
02/04/2022: Jamestown, NY
A data scientist should understand the assumptions that need to be met for each statistical test.
03/04/2022: Hialeah, FL
Step 3: View the best colleges and universities for Data Scientist.
Similar Jobs
Popular Articles
