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JR0148243 - Program Manager Technical - SK in Folsom, CA
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Scientist III, Bio-informatics
Company: Thermo Fisher Scientific Location: Carlsbad, CA Employment Type: Full Time Date Posted: 11/26/2020 Expire Date: 02/18/2021 Job Categories:
Advertising/Marketing/Public Relations, Computers, Software, Engineering, Information Technology, Manufacturing and Production, Sales, Science, Research & Development
Job Description
Scientist III, Bio-informatics
Position Objective
You will be:
Contributing to the new technology development within a multidisciplinary team of scientists focused on a single cell research
Developing molecular tagging and barcoding designs to uniquely identify thousands of samples
Designing oligos and primers to implement these designs in RT, amplification, barcoding reactions with whole transcriptomes
Analyzing and troubleshooting NGS data, hidden biases, read structures to support experimental optimization and development of advanced molecular tagging and to provide constructive feedback to the bench scientists
Developing new and customized NGS single cell analysis tools for internal R&D use and as part of customer-facing production software
Proactively communicating across functions, especially with cell and molecular biologists to interpret sequence results, propose additional experiments, dynamically adjust designs to support the fast-paced development work
Contributing to the development of customer-facing software, algorithms, visualization
Scope of Need
You will:
Directly interact with senior R&D leadership, software, engineers, product and project management to develop and execute project plans that support product development initiatives towards analysis of the transcriptome at the single cell level
Deliver on executing these plans according to a planned set of milestones, deliverables and timelines.
Clearly present ideas, designs, algorithms and results to both experts and non-experts in the field
Create intellectual property
Scientific leadership, significant independence, and strong teamwork are absolutely required.
This role may involve any of the following:
Assay Design: Optimizing primer designs, RT and PCR reactions, sequencing approaches
Sequencing Support: Developing a pipeline for assay design through analysis of RNAseq data
Bioinformatics: Development of data analysis algorithms and tools
Data Visualization: Developing “intuitive” methods for data visualization
Education:
A graduate degree in bioinformatics, physics, statistics, biological or computer sciences is a strong preference.
Direct experience with single cell data analysis is preferred.
Candidates with a bachelor’s degree and a relevant 7+ years of experience in industry will also be considered.
Knowledge, Skills, Abilities
You should have:
A solid knowledge of next-generation sequencing analysis with a good understanding of software engineering and data analysis principles
Experience with a custom NGS analysis and troubleshooting of NGS assay designs
Understanding of the molecular and cellular biology associated with gene expression and sequencing
Understanding and experience with primer design, PCR technology, and molecular barcoding methods
Proficiency in Python, R and Shiny, Linux shell scripting. Experience with C++ and Java is a plus
Background in statistics and experience with standard RNAseq libraries
Direct experience with single cell transcriptomic analysis is preferred
Strong communication skills and proficiency in scientific data presentation and visualization
History of successful collaborative work with molecular biologists and technology development teams
Experience:
Required: 3+ years of experience in bioinformatics or a related field
Required: 2+ years of experience with next generation sequencing data analysis
Preferred: 1+ years of experience with single cell sequencing or other single cell techniques
Working Conditions:
Majority of working time will be spent designing strategies for sequence acquisition and analysis of whole transcriptomes from many single cells
Significant collaboration between cell and molecular biologists to test designs, analyze and interpret results and change design based on that feedback
Carrying out analysis of large RNAseq data sets
Recording activities appropriately in notebooks
Must be capable of observing and adhering to lab safety standards and protocols
Must be able to identify deviations from expected outcomes and participate in trouble-shooting those deviations and suggesting alternatives
Critical to success in this position will be the individual’s ability to work independently and to work as part of a high-performing team
Must be able to work as part of a team in the laboratory (extended R&D team) and as part of a broader cross-functional team (R&D, Project Management, Product Management, Quality, Operations, Marketing, Commercial)