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Required Skills
Python
Perl
R
MATLAB
SQL
Bioinformatics
Data analysis
Work Schedule
Standard (Mon-Fri)
Environmental Conditions
Office
Job Description
The Microarray Bioinformatics team in the Life Science Group of Thermo Fisher Scientific seeks a skilled and motivated bioinformatics scientist to develop and maintain pipelines for processing, curating and integrating public and proprietary biological datasets into analysis workflows.
How will you make an impact?
The successful applicant will work closely with Thermo Fisher Scientific scientists in the analysis and interpretation of genomic data including DNA microarrays, sequencing data, and other molecular data types for applications such as calling gene copy number, genotyping SNPs, methylation, gene expression and more. The candidate will apply creative approaches to understanding genomic data and developing analytical pipelines in the development of products that improve human and animal health.
What will you do?
- Develop, optimize and maintain data processing pipelines for integrating public data into workflows.
- Build web-based applications to manage flow of data and visualize results.
- Application of AI-inspired content for describing genomics data.
- Apply new and existing data analysis techniques to copy number, genotype, methylation and expression data.
- Work with large-scale, complex data sets.
- Interact with research and product development teams in experimental design and subsequent analysis of results.
How will you get here?Education
PhD or Masters with 3 years of experience in Bioinformatics, computational biology, computer science or a related field. Bachelors degree holders with highly relevant experience are eligible for consideration.
Required Experience
- Programming skills in Python or Perl in a UNIX environment and experience with R or MATLAB and SQL.
- Proficiency in data analysis and analysis frameworks (e.g. GATK) in the biological sciences.
- Experience with bioinformatics databases and tools, such as high-throughput genomic mapping and sequence alignments, and familiarity with relational databases and SQL.
- Good problem solving skills and initiative in finding solutions.
- Familiarity with a variety of public domain databases such as dbSNP, Clin Var, OMIM, etc.
Preferred Qualifications
- Experience in analysis and visualization of microarray and sequencing data.
- Experience with other genomic technologies.
- Experience using web-based frameworks to visualize data will be considered a plus, as will experience with processing data using a parallel framework.
Knowledge, Skills, and Abilities
- Must possess outstanding communication ability and strong initiative and the ability to take ownership of exciting problems.
- Must enjoy working as part of a multi-disciplinary team.
At Thermo Fisher Scientific, each one of our 75,000 extraordinary minds has a unique story to tell. Join us and contribute to our singular mission—enabling our customers to make the world healthier, cleaner and safer.
Apply today! http://jobs.thermofisher.com
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About Thermo Fisher

Thermo Fisher
PublicThermo Fisher Scientific Inc. is an American life science and clinical research company. It is a global supplier of analytical instruments, clinical development solutions, specialty diagnostics, laboratory, pharmaceutical and biotechnology services.
10,001+
Employees
Waltham
Headquarters
Reviews
3.9
2 reviews
Work Life Balance
3.5
Compensation
2.5
Culture
3.5
Career
4.0
Management
3.0
65%
Recommend to a Friend
Pros
Large company with extensive resources
Structured internship program
Career opportunities in product management
Cons
Low compensation ($22/hour)
High cost of living in location
Expensive housing/rent
Salary Ranges
2,260 data points
Mid/L4
Mid/L4 · Adobe Analytics Launch Developer
1 reports
$137,796
total / year
Base
$105,997
Stock
-
Bonus
-
$137,796
$137,796
Interview Experience
8 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer Rate
12%
Experience
Positive 12%
Neutral 63%
Negative 25%
Interview Process
1
Application Review
2
Recruiter Screen
3
Hiring Manager Interview
4
Panel Interview
5
Final Interview
6
Offer
Common Questions
Technical Knowledge
Behavioral/STAR
Past Experience
Culture Fit
Industry Specific
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