Computational Scientist in Single Cell Genomics

New York Genome Center

Computational Scientist in Single Cell Genomics

Schaumburg, IL
Full Time
Paid
  • Responsibilities

    The Technology Innovation Lab at the New York Genome Center seeks a dynamic, self-motivated, team-oriented Computational Scientist to expand dry lab efforts in understanding disease mechanisms. We are interested in developing integrative multi-modal data analysis tools incorporating single cell omics data, imaging data, clinical phenotypes, variants and genotypes.

    As Computational Scientist , you will be a critical senior member of a collaborative team that develops cutting edge computational methodologies and technologies in order to understand the mechanisms of neuroimmunology, cancer immunology and aging, in an efficient and comprehensive manner, which will accelerate the advancement of clinical therapeutic hypotheses. The primary purpose of this role is to identify and develop completely novel computational approaches with focus on single cell genomics. The candidate should be an independent thinker that can develop new protocols and novel schemes to solve complex problems.

    Responsibilities may include:

    • Develop new computational, machine learning, and statistical analysis methods for integrating and analyzing large-scale, scRNA-seq, CRISPR and genotypic data using current state of the art technologies;
    • Develop a resource for the community that gives access to collected data;
    • Independently design, develop and execute a research project, with input from senior members of the team;
    • Maintain significant knowledge of the current, relevant scientific literature, and communicate key developments to other lab members to ensure competitiveness of the group;
    • Work closely with experimental colleagues and cores to understand the nature of generated data;
    • Coordinate efforts across multiple organizations (Flatiron Institute, Columbia University and New York Genome Center);
    • Actively participate in the preparation of manuscripts for publication and present at scientific conferences;
    • Assist in peer- and student-mentorship; and
    • Share expertise and provide training and guidance to group members as needed.

    Requirements & Qualifications

    • Relevant PhD degree required in computational biology, computational neuroscience, applied mathematics, computer science, or related discipline required, with a strong bioengineering and/or molecular biology focus.
    • Extensive knowledge, experience and publication record of modern molecular biology and/or chemistry tools required, including next-generation single cell sequencing methods;
    • In-depth conceptual or technical understanding of modern high-throughput molecular technologies in the life sciences (such as RNA-seq, WGS, scRNA, spatial transcriptomics, imaging, pooled/sc CRISPRi) required;
    • Proficiency in large scale data analysis and algorithm development for instance using machine learning, Markov chain, Bayesian, dynamic programming, graph analysis.
    • Proficiency in one or more programming/scripting languages such as Python, C/C++, R, Stan.
    • Proficiency in analysis tools such as STAR, BWA, cellRanger, spaceRanger, ilastik or similar required;,
    • Proficiency in designing and developing analytical bioinformatic approaches that can extract biologically meaningful data from complex datasets.
    • Strong oral and written communication, data documentation, and presentation skills required;
    • Experience writing scientific articles for publication required;
    • Ability to handle multiple projects at the same time required; and,
    • Excellent collaborative and interpersonal skills, and willingness to work in a fast-paced team environment required.

    Competencies:

    • Technical and Professional Skills : Consistently demonstrates skills and knowledge relevant for current role; strives to expand the depth and breadth of technical and professional skills; works with a high level of integrity; exhibits focus and discipline; appropriately prioritizes, manages expectations and delivers on commitments.
    • Collaborative & Communicative: Models collaboration and teamwork; brings out the best in others; effectively works with all levels, internally and externally; respects and embraces diversity of perspective; communicates clearly and listens carefully; uses good judgment as to what to communicate and when to do so.
    • Adaptable & Innovative: Adaptable and embraces change; develops new insights and pursues improvements and efficiency; fosters exchange of new ideas and willing to challenge the status quo; takes initiative and is solution-oriented; engages in work with passion and curiosity.

    Salary

    The expected salary for this position is $100,000-105,000 per year, and the full pay range for this position is $95,000-115,500 per year; base pay offered may vary depending on job-related knowledge, skills, and experience. In addition, NYGC offers a full range of medical, financial, and other benefits as well as generous time off.

    About the Technology Innovation Lab

    The Technology Innovation Lab at the New York Genome Center (NYGC) is led by Dr. Sanja Vickovic, who holds a joint faculty appointment in Columbia University’s Department of Biomedical Engineering. The Technology Innovation lab is a dedicated incubator for the development and early-stage evaluation of new genomics tools and methodologies. It serves as a creative hub for generating new technologies, protocol development, equipment evaluation and informatics tool development/integration. Although the focus of the lab is constantly evolving due to the fast-paced advancement of genomic technologies, it is committed to developing technologies with the potential to advance research for the wider scientific community, including the recent advancements listed below. A few examples of current and past areas of research include: Spatial Transcriptomics and Spatial Multi-Omics, ECCITE-seq, Cell Hashing and CITE-seq.

    About the New York Genome Center

    The New York Genome Center (NYGC) is an independent, nonprofit, academic research organization dedicated to advancing genomic research. NYGC scientists and staff are furthering new approaches to diagnosing and treating neurological diseases and cancer through their unique capabilities in whole genome sequencing, RNA sequencing, state-of-the art analytics, and the development of genomic tools. NYGC concentrates specifically on disease-based research in the following areas: neuropsychiatric disease (autism, schizophrenia, bipolar); neurodegenerative disease (ALS, Alzheimer’s, Parkinson’s, Huntington’s), and cancer.

    Located in Lower Manhattan, the New York Genome Center was founded by and remains closely affiliated with the leading academic medical centers and research universities in the New York region, engaging in research projects with and for these institutions. Essential to our collaborative work is an outstanding faculty, whose members typically hold a joint appointment at NYGC and a partner university. They support our scientific mission by conducting independent research in areas of mutual interest to us and the wider scientific community.

    Please note: We care greatly about our employees’ wellbeing, so NYGC has moved to a fully COVID-19 vaccinated work environment. You must be vaccinated against COVID-19 to work at NYGC, even if you are working partially remotely. If you are selected to interview for this role, we will explain our vaccination policy (including medical and religious exemptions) and ensure you are comfortable moving forward with further interviews.

    Equal Opportunity

    Diversity, equity, and inclusion are central to the core mission at the NYGC. We strive to create a workplace environment that is welcoming and fair to all regardless of race, ethnicity, gender, sexual orientation, physical ability, or religion. We believe that when people of various backgrounds, life experiences, and perspectives work together in an inclusive and equitable environment we gain new and valuable perspectives that otherwise would have been missed. Valuing and supporting all NYGC employees as individuals while helping them realize their full potential is critical to promoting greater collaboration, innovation, and discovery – fostering a sense of belonging for our greatest strength, our people. We recognize that there is still work to be done that will require sustained commitment from the entire organization.

    The New York Genome Center is a VEVRAA Federal Contractor. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, creed, color, gender, religion, national origin, sexual orientation, age, disability, genetic predisposition or carrier status, protected veteran or military status, domestic violence victim status, partnership status, caregiver status, alienage or citizenship status, marital status, or any other characteristic protected by applicable law. The New York Genome Center takes affirmative action in support of its policy to hire and advance in employment individuals who are minorities, women, protected veterans, and individuals with disabilities.

    FLSA Status – Exempt

    This position is eligible for visa sponsorship and relocation assistance.

    Required Skills

    Required Experience

  • Qualifications

    REQUIRED & PREFERRED QUALIFICATIONS

    ****Bachelor’s Degree or equivalent work experience in a related field required

    1+ years of Metals industry experience preferred

    5+ years of Business Systems Analysis experience required

    5+ years ERP systems experience required

    2+ years SQL experience preferred

    Ability to effectively communicate, both verbally and in writing, at all levels including customers, vendors, peers, business stakeholders and management required.

    Proficiency with Microsoft Windows and Microsoft Office products required

    Proficiency with some collaboration tools like SharePoint and Box

    Capable of learning new systems and creating/implementing new system functionality

    Possesses intermediate knowledge of HTML and XML

    Understands intermediate Internet and client/server architectures

    Possesses intermediate knowledge of SQL and databases

    Must be self-motivated and able to work independently with minimal supervision and as part of a team

    Detail oriented with excellent interpersonal communication skills

    Excellent customer service skills

  • Industry
    Biotechnology