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Merck Associate Principal Scientist, Systems Biology in West Point, Pennsylvania

Job Description

The Vaccines & Advanced Biotechnologies department, part of the Research Labs, is looking for a passionate and talented systems biologist with expertise in the generation and analysis of complex multi-dimensional and multi-scale biological data to join our research team and support our discovery & development efforts at West Point, PA.

In this role, you will be at the very leading-edge of therapeutic research and development, developing and implementing experimental and computational tools in a dynamic and scientifically rigorous environment. You will operate in a highly collaborative and matrixed organization and engage with cross-functional teams of experimental and computational biologists, data scientists, and colleagues across the ecosystem to drive a diverse therapeutic pipeline.

The successful candidate will be a scientifically curious team player and self-motivated learner with previous knowledge of functional genomics-driven experimental strategies at the bulk and single-cell scales and an interest in developing and using technology solutions (algorithms/tools/etc) to aid in our interpretation of complex biological data.

An ability to communicate clearly and collaborate effectively with colleagues from different disciplines will be essential.

This role is based at our West Point, PA location.

In this exciting role, you will:

  • Directly contribute to multiple stages of therapeutic development through rigorous design and/or implementation of high-dimensional functional genomics and cellular profiling assays, including in vitro and in vivo pooled/arrayed CRISPR screens, single-cell transcriptomics and lineage tracing, as well as experimental and in silico derived proteomic datasets.

  • Perform statistically rigorous quantitative analyses while employing reproducible research and data integrity practices on large-scale biological datasets.

  • Analyze, interpret, and summarize complex biological data and employ data visualization tools to facilitate communication of findings to broader audiences.

  • Identify, analyze, and integrate internal and external data and knowledge resources to enable data mining in a biological context and inform actionable learnings to drive pipeline development.

  • Develop and implement experimental and/or computational methods to integrate findings from functional genomics screens and other data sets (including RNA-Seq, DRUG-seq, WGS, CRISPR, single cell RNA-Seq, proteomics, and metabolomics) with additional biological data streams to generate deep biological knowledge and drive innovation.

REPRESENT SYSTEMS BIOLOGY EXPERTISE IN CROSS-FUNCTIONAL TEAMS:

  • Provide clear interpretation of high-dimensional data and propose candidates for further computational and biological interrogation.

  • Engage with cross-functional teams to translate biological hypotheses into experimental and/or computational interrogations of multi-omics molecular data to drive iterative experimental design decisions.

  • Work in a highly collaborative environment, tightly embedded in project teams across scientific disciplines and functions, bringing together genetics, chemistry, pharmacology, as well as molecular and cellular biology to accelerate the development of therapeutics.

EXPAND YOUR KNOWLEDGE AND GROW YOUR CAREER:

  • Survey relevant literature on novel experimental and computational methods and introduce them into in-house portfolio of workflows.

  • Keep up to date on project-relevant literature (experimental and analytics topics in functional genomics space, specific disease biology, etc) and attend relevant conferences.

  • Further your professional development by participating in workshops and seminars aimed at personal and professional growth.

Required Education and Experience:

  • Ph.D. in Systems Biology, Computational Biology, Computer Science, Biostatistics, Genetics, Immunology, Mathematics, Molecular Biology, Statistics, or related field and 4 years of experience.

  • Masters in areas mentioned above with 8+ years of experience.

  • Bachelor's in above areas with 12+ years of experience.

  • Experience can be a mix of relevant academic or industrial experience.

Required Skills:

APPLIED EXPERIENCE:

  • Demonstrated experience with experimental and/or computational strategies and interpretation of large-scale biological data such as various sequencing modalities and pooled/arrayed CRISPR-based screens.

  • Demonstrated fluency with generation and/or analysis of diverse large-scale NGS experimental datasets (e.g., RNAseq, WES, scRNAseq, spatial transcriptomics, etc).

  • Demonstrated experience with statistical hypothesis testing methodology and machine learning concepts and methods.

  • Experience with integrating results generated from multiple data sources (e.g., different 'omics data sets), and biological knowledge bases to extract meaningful biological insights.

TECHNICAL SKILLS :

  • Fluency with experimental and/or computational methods for generating and interrogating high-dimensional biological data. Programming skills with application in statistical analysis (e.g., R, Rshiny, tidyverse, Python, MATLAB), and ability to distill complex data into interpretable visualizations.

  • Experience with cell culture, RNA/DNA extractions, preparation of sequencing libraries, molecular biology tools, experimental design strategies.

  • Experience with HPC, AWS cloud computing infrastructure and Linux environments.

  • Experience with version control systems, such as Git (e.g., Github). Ability to adapt to and work with existing analytic frameworks.

Preferred Experience and Skills:

  • Understand the pros and cons of various algorithms for DNA-seq, RNA-seq, single-cell RNA-seq and/or functional genomics data.

  • Familiarity with the data and analytic capabilities of public repositories.

  • Familiarity with public databases and repositories of DNA, RNA, protein, single-cell, as well as functional genomics data.

  • Experience extracting meaningful biological insights from high-dimensional biological readouts.

  • Strong publication record.

NOTICE FOR INTERNAL APPLICANTS

In accordance with Managers' Policy - Job Posting and Employee Placement, all employees subject to this policy are required to have a minimum of twelve (12) months of service in current position prior to applying for open positions.

If you have been offered a separation benefits package, but have not yet reached your separation date and are offered a position within the salary and geographical parameters as set forth in the Summary Plan Description (SPD) of your separation package, then you are no longer eligible for your separation benefits package. To discuss in more detail, please contact your HRBP or Talent Acquisition Advisor.

Employees working in roles that the Company determines require routine collaboration with external stakeholders, such as customer-facing commercial, or research-based roles, will be expected to comply not only with Company policy but also with policies established by such external stakeholders (for example, a requirement to be vaccinated against COVID-19 in order to access a facility or meet with stakeholders). Please understand that, as permitted by applicable law, if you have not been vaccinated against COVID-19 and an essential function of your job is to call on external stakeholders who require vaccination to enter their premises or engage in face-to-face meetings, then your employment may pose an undue burden to business operations, in which case you may not be offered employment, or your employment could be terminated. Please also note that, where permitted by applicable law, the Company reserves the right to require COVID-19 vaccinations for positions, such as in Global Employee Health, where the Company determines in its discretion that the nature of the role presents an increased risk of disease transmission.

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Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, generally Tuesday, Wednesday and either Monday or Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence. This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as “remote”.

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Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.

Employee Status:

Regular

Relocation:

VISA Sponsorship:

Travel Requirements:

Flexible Work Arrangements:

Not Applicable

Shift:

Valid Driving License:

Hazardous Material(s):

Job Posting End Date:

09/20/2024

*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

Job Posting End Date: 09/20/2024

A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

Requisition ID: R310658

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