genomics scientist

ALLEN INSTITUTE

<div><p><b><i>Scientist I &ndash; Human Cell Types - Alzheimer's Disease</i></b></p>
<p>The <b>mission</b> of the <b>Allen</b><b> </b><b>Institute</b> is to understand the principles that govern life, and to advance health. Our creative and multi-dimensional teams focus on answering some of the biggest questions in bioscience. We accelerate foundational research, catalyze bold ideas, develop tools and models, and openly share our science to make a broad, transformational impact on the world. The mission of the Allen Institute for Brain Science is to accelerate the understanding of how the human brain works in health and disease. Using a big science approach, we generate useful public resources, drive technological and analytical advances, and discover fundamental brain properties through the integration of experiments, modeling, and theory.
</p><p>The <b>Seattle Alzheimer&rsquo;s Disease Brain Cell Atlas</b> (SEA-AD) consortium strives to achieve a deep molecular and cellular understanding of the early pathogenesis of Alzheimer&rsquo;s disease (AD). Leveraging advances in quantitative neuropathology and next-generation single cell molecular profiling technologies we are generating large-scale data sets from well-characterized donors that span the spectrum of AD pathology to comprehensively map human brain cell types across aging and disease. These data along with tools for their use are made freely and publicly available. We are seeking a highly motivated Scientist to contribute to this effort by designing and executing experiments at the interface of neuroanatomy, single-cell genomics, and histology. The Scientist will generate precisely dissected, high-quality human brain tissue samples, optimize and validate molecular and single-cell assays, and execute experiments (e.g., in situ hybridization, immunostaining) to validate computational findings. Working closely with experts in neuropathology, spatial transcriptomics, and computational analysis, the Scientist will help advance high-resolution molecular atlases of the human brain in health and disease. The ideal candidate will have a strong foundation in molecular neuroscience, experience with single-cell transcriptomic and/or epigenomic assays, and a working knowledge of Alzheimer&rsquo;s disease biology. Familiarity with human neuroanatomy and enthusiasm to deepen anatomical expertise are also essential.</p>
<p>At the Allen Institute, we believe that science is for everyone &ndash; and should be open to everyone. We are dedicated to combating biases and reducing barriers to STEM careers more broadly.
</p><p>We also believe that science is better when it includes different perspectives and voices. We strive to make the Allen Institute a place where everyone feels like they belong and are empowered to do their best work in a supportive environment.
</p><p>We are an equal-opportunity employer and strongly encourage people from all backgrounds to apply for our open positions.</p>
<p><b>Essential Functions</b></p>
<ul><li>Contribute to the design and execution of large-scale single-cell genomics experiments
</li><li>Participate in the development and testing of new single-cell methods and protocols</li>
<li>Optimize protocols for challenging samples, troubleshoot workflows for variable tissue quality, and evaluate tissue and sequencing library quality using standard metrics
</li><li>Conduct basic analysis of single-cell genomics data, including benchmarking of new methods
</li><li>Design and execute experiments to validate and extend computational results and generate novel biological insights</li>
<li>Present progress in group meetings and at scientific conferences, and contribute to peer-reviewed publications</li>
<li>Assist in management of tissue acquisition and sample tracking
</li><li>Maintain meticulous experimental records to ensure reproducibility across tissue donors and adherence to best practices for tissue handling, biosafety, and data integrity</li>
<li>Actively contribute to a collaborative environment focused on scientific rigor and methodological innovation</li>
</ul>
<p><i>*Note: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This description reflects management&rsquo;s assignment of essential functions; it does not proscribe or restrict the tasks that may be assigned.*</i></p>
<p><b>Required Education and Experience</b></p>
<ul><li>PhD degree in Neuroscience, Molecular Biology, Genomics, or related field, or equivalent combination of degree and experience</li>
<li>Demonstrated experience conducting independent experimental research and interpreting complex biological data</li>
<li>Broad knowledge of and experience with single-cell genomics platforms</li>
</ul>
<p><b>Preferred Education and Experience</b></p>
<ul><li>Proficiency in independently conducting single-cell genomics assays</li>
<li>Hands-on experience with human postmortem or surgical brain tissue, including dissection, nuclei isolation, and nucleic acid extraction
</li><li>Proven ability to troubleshoot complex molecular biology protocols and optimize workflows for variable sample quality</li>
<li>Basic experience or familiarity with multicolor flow cytometry</li>
<li>Basic familiarity with human neuroanatomy and willingness to expand anatomical knowledge</li>
<li>Proficiency in tissue sectioning, histological stains, and/or immunofluorescence panel optimization
</li><li>Ability to capture and analyze high-quality images using confocal or fluorescence microscopy and to quantify results with ImageJ/Fiji, QuPath, or similar applications</li>
<li>Experience with Python and/or R for basic data analysis and visualization and an understanding of core single-cell data analysis concepts (e.g., QC, clustering, marker identification)</li>
<li>Working knowledge of AD pathology and molecular mechanisms of disease</li>
<li>Excellent communication skills and comfort working in large, multidisciplinary teams to pursue collaborative research goals
</li><li>Strong quantitative and organizational skills, with attention to data quality and integrity</li>
</ul>
<p><b>Work Environment
</b></p><ul><li>Laboratory environment - possible chemical, biological, or other hazardous substances exposure
</li><li>Possible exposure to BioSafety Level 2 organisms, such as recombinant viruses</li>
<li>This may include wearing personnel protective equipment (PPE)</li>
<li>Working with dry ice or liquid nitrogen</li>
<li>Sample handling of the following material, including but not limited to: human brain tissues, non-human primate brain tissues, human whole blood, PBMCs, plasma, nucleic acids, and cells</li>
</ul>
<p><b>Physical Demands
</b></p><ul><li>Occasional lifting up to 30 pounds</li>
<li>Fine motor movements in fingers/hands to operate computers and other office equipment, repetitive motion with lab equipment</li>
<li>Stooping, bending, crouching
</li><li>Reaching or climbing ladders
</li></ul><p><b>Position Type/Expected Hours of Work</b></p>
<ul><li>This role is currently working onsite and is expected to work onsite for the majority of working hours. The primary work location for this role is 615 Westlake Ave N., with the flexibility to work remotely on a limited basis.
</li></ul><p><b>Additional Comments</b></p>
<ul><li>**Please note, this opportunity offers<b> </b>relocation assistance**</li>
<li>**Please note, this opportunity may offer work visa sponsorship**</li>
</ul>
<p><b>Annualized Salary Range</b></p>
<p>$86,150 - $106,650*</p>
<ul><li>Final salary depends on the required education for the role, experience, level of skills relevant to the role, and work location, where applicable.</li></ul>
<p><b>Benefits
</b></p><p>Employees (and their families) are eligible to enroll in benefits per eligibility rules outlined in the Allen Institute&rsquo;s Benefits Guide. These benefits include medical, dental, vision, and basic life insurance. Employees are also eligible to enroll in the Allen Institute&rsquo;s 401k plan. Paid time off is also available as outlined in the Allen Institutes Benefits Guide. Details on the Allen Institute&rsquo;s benefits offering are located at the following link to the Benefits Guide: https://alleninstitute.org/careers/benefits.</p>
<p><i>It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities</i></p></div>

Scientist I - Alzheimer's Disease

BRUKER

<div>Overview:
<div>
At Bruker Cellular Analysis (BCA), we create products using advanced optofluidic technology that enable customers to interrogate and recover individual cells for downstream molecular analysis. Our platforms, including the Beacon&reg; Optofluidic System, leverage proprietary Opto-Electropositioning (OEP&trade;) technology to automate complex cellular workflows with unprecedented precision and speed.</div><div></div><div><br>
We are expanding our Next-Generation Sequencing (NGS) capabilities to connect single-cell functional assays with genomic insights. As an NGS Scientist, you will develop and refine Illumina-based sequencing workflows that enable customers and internal R&amp;D teams to translate single-cell biology into high-quality molecular data</div>
Responsibilities:
<div>
This position resides at the interface of Applications R&amp;D, Molecular Biology, Bioinformatics, and Product Development. You will collaborate closely with cell biologists, engineers, assay developers, and bioinformaticians to implement robust, scalable sequencing workflows for product and application development. We welcome collaborative, detail-oriented scientists who thrive in multidisciplinary environments and want to help shape the next generation of cellular analysis technology.</div><div></div><div><b><br>
Responsibilities:</b></div><ul><li>
Develop and optimize Illumina NGS library preparation workflows (DNA and RNA) for single-cell and bulk assays.</li><li>
Integrate sequencing workflows into existing and emerging Beacon&reg; applications for antibody discovery, functional genomics, and cell therapy research.</li><li>
Design, execute, and analyze sequencing experiments to evaluate workflow performance and enable new product capabilities.</li><li>
Establish and maintain QC metrics across the NGS pipeline, from input quality to sequencing readouts.</li><li>
Collaborate with automation and software engineering teams to implement scalable, reproducible sequencing workflows.</li><li>
Support root-cause investigations and troubleshooting of sequencing-related issues and contribute to continuous process improvement.</li><li>
Maintain accurate and complete documentation (SOPs, protocols, technical reports) in accordance with internal quality systems.</li><li>
Communicate experimental results, recommendations, and data insights to cross-functional project teams.</li></ul>
Qualifications:
<div>
Required:</div><ul><li>
M.S. or Ph.D. in Molecular Biology, Genomics, Bioengineering, or a related field (or equivalent industry experience).</li><li>
2+ years of hands-on experience with Illumina sequencing workflows, including library prep, sequencing, and data QC.</li><li>
Strong understanding of nucleic acid biochemistry and standard molecular biology techniques (enzymatic reactions, purification, quantification).</li><li>
Familiarity with single-cell sequencing, immune repertoire profiling, or multi-omic workflows.</li><li>
Experience with sequencing QC instrumentation (Bioanalyzer, TapeStation, qPCR, fluorometric assays).</li><li>
Ability to interpret sequencing quality metrics and identify technical or process-related issues.</li><li>
Excellent communication skills and the ability to collaborate in a fast-paced, interdisciplinary environment.</li></ul><div>
Preferred:</div><ul><li>
Experience with automated NGS workflows (Agilent Bravo, Hamilton STAR, etc.) or high-throughput assay development.</li><li>
Exposure to basic bioinformatics tools (e.g., demultiplexing, alignment, QC review) or scripting in Python/R.</li><li>
Experience working within a QMS, ISO 13485, or regulated product development environment.</li></ul><div>
At Bruker, base salary is part of our total compensation. The estimated base salary range for this full-time position is between $$95,400 and $168,000 provides an opportunity to progress as you grow and develop within a role.The base salary for the role will depend on a several job-related factors, including, but not limited to education, training, experience, the geographic location of the successful candidate, skills, competencies, job-related knowledge and travel requirements for this position. Full-time employees may also be eligible for a performance-related incentive in addition to a full range of benefits including 401(k) with company match, an employee stock purchase plan, medical and dental plans, life insurance, short-term and long-term disability insurance, employee assistance program and paid time off including vacation, sick time and holidays, and more.</div><div></div><div><br>
Bruker is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.</div><div></div><div><br>
Certain positions at Bruker require compliance with export control laws and as a result, all interviewed candidates for all positions will be screened pre-interview to determine their eligibility in light of export control restrictions.</div></div>

Scientist

NVIDIA

<div><p>NVIDIA is at the forefront of redefining healthcare by harnessing the power of GPU computing and AI to redefine data analysis in fields such as genomics and personalized medicine. We are on the lookout for hardworking and committed individuals to join our mission in integrating AI driven genomic solutions into mainstream healthcare. As a Genomics Deep Learning Engineer, you will be part of an innovative team dedicated to the development of deep learning algorithms tailored for genomics applications. This role offers the outstanding chance to define, implement, productize, and deliver innovative computing software that will have a global impact on genomics community. If you are driven by solving complex computational challenges in the genomics field, this role is tailor-made for you!</p><p></p><p><b>
What you'll be doing:</b></p><ul><li><p>
Develop and refine deep learning models and techniques for genomics analysis, including but not limited to DNA sequencing, variant calling, and model prediction.</p></li><li><p>
Advance and apply modern Deep Learning techniques to develop Large Language Models (LLMs), Graph Neural Networks, Graph Transformer Networks, and comprehensive multi-modal models in genomics.</p></li><li><p>
Design and implement machine learning techniques to tailor foundation models for downstream genomic specific tasks.</p></li><li><p>
Generate and manage datasets for large-scale machine learning, focusing on learning from genomics specific applications.</p></li><li><p>
Collaborate closely with product and hardware architecture teams to ensure flawless integration of research and development into NVIDIA products.</p></li><li><p>
Work in tandem with engineering and AI research teams to employ the latest technologies for scalable and innovative genomics analysis.</p></li></ul><p></p><p><b>
What we need to see:</b></p><ul><li><p>
Master or Ph.D. in Computer Science, Bioinformatics, or Computational Biology, or related field (or equivalent experience).</p></li><li><p>
3+ years of experience in related field.</p></li><li><p>
Proficiency in C/C++ and Python, with a strong grasp of software design and programming principles.</p></li><li><p>
Background with Large Language Models (LLMs) and natural language processing (NLP), Generative AI and Foundation Models.</p></li><li><p>
Strong proficiency with modern frameworks such as PyTorch and TensorFlow, Experience with Large scale inferencing.</p></li><li><p>
Experience in building and implementing complex algorithms and data structures, with a focus on bioinformatics or genomics applications.</p></li><li><p>
Deep understanding of computer system architecture, operating systems, and the challenges associated with large-scale genomic data analysis.</p></li></ul><p></p><p><b>
Ways to stand out from the Crowd:</b></p><ul><li><p>
Hands-on experience in using LLM, Graph Neural Network, Graph Transformer Network particularly those applied to genomics data.</p></li><li><p>
Strong collaborative and interpersonal skills to effectively work and influence within a dynamic, technical environment.</p></li><li><p>
Ability to decompose complex requirements into step by step tasks and reuse available solutions to implement most of those.</p></li></ul><p></p><p>
NVIDIA is recognized as one of the most innovative and desirable employers in the technology sector. We are home to some of the brightest and most hardworking individuals globally.</p><p></p>
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.<p></p><div><div><div><div><div><div><div><p>
You will also be eligible for equity and benefits.</p></div></div></div></div></div></div></div><p></p>
Applications for this job will be accepted at least until November 14, 2025.<p></p>
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.</div><p></p>

Senior Deep Learning Engineer - Genomics

Broad Institute

<div><div><div><div><h3 class="jobSectionHeader"><b>General information
</b></h3></div></div><div><div><div><div>Location
</div><div>Burlington, MA
</div></div><div><div>Ref #
</div><div>43219
</div></div><div><div>Job Family
</div><div>Research
</div></div><div><div>Workplace
</div><div>On-Site
</div></div><div><div>Date published
</div><div>11/10/2025
</div></div><div><div>Time Type
</div><div>Full time
</div></div><div><div>Pay Range
</div><div>115,000 - 161,667 Usd Annual
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Description &amp; Requirements
</b></h3></div></div><div><div><div><div><p>The Broad Institute&rsquo;s Genomics Platform seeks a collaborative, versatile Senior Scientist and Laboratory Lead for its cell engineering efforts. This role involves driving cutting-edge research and development in cellular technologies, specializing in cell culture, differentiation, and gene editing techniques. Working in an exciting and fast-paced environment, the Lead will design, execute, and manage complex cell engineering projects for both internal and strategic academic and commercial partners. You will be instrumental in defining and optimizing laboratory protocols, leading a small team of researchers and scientists, and ensuring the successful execution and delivery of highly technical projects. This exceptional opportunity offers the chance to work at the forefront of new cellular and molecular technologies and applications, directly contributing to high-impact biological research.<br>
<br>
</p><div>Responsibilities include developing a deep technical understanding of cell engineering applications and scientific project needs, establishing and maintaining strong relationships with cross-functional scientific and operational stakeholders, and managing all technical aspects of laboratory operations. This ranges from project design and protocol optimization to ensuring that experiments are executed to the highest standards, on time, and within budget. The ideal candidate will hold a strong, hands-on understanding of cellular and molecular biology technologies and applications, including mammalian cell culture, iPSC differentiation, high-throughput screening, and gene editing methodologies (e.g., CRISPR). You must be comfortable designing, executing, and troubleshooting complex scientific protocols, be systems-savvy, detail-oriented, and able to work independently to anticipate the needs of the research and stakeholders. The Lead will join a core technical team engaging with scientists within and external to the organization to explore and facilitate cutting-edge functional cell and genomics projects.<br>
<br>
<b>Characteristic Duties</b></div><ul><li> Serves as the primary technical lead for assigned cell engineering projects, designing experimental plans, setting performance metrics, and generating technical reports and data analysis.</li><li> Liaises with key scientific stakeholders to understand project goals, inform the development and optimization of technical protocols, champion cross-functional collaboration, and drive the implementation of research programs in alignment with scientific objectives.</li><li> Manages and supports laboratory collaborations with a focus on scientific rigor, consensus-building, and ensuring successful technical outcomes for a range of stakeholders; facilitates the creation of comprehensive project plans which include scientific scope, technical goals, resource requirements, roles and responsibilities, and technical risk analysis.</li><li> May lead a small team of scientists and research associates, providing mentorship, technical guidance, and ensuring efficient lab operation, including equipment maintenance and reagent inventory.</li><li> Works with internal and external stakeholders to proactively plan for future projects, including establishing timelines, resource requirements, and logistical/scientific requirements.</li><li> Designs and executes complex cell engineering experiments, including the culture, maintenance, and differentiation of various cell types, applying gene editing tools, and integrating with high-throughput screening and sequencing workflows.</li><li> Ensures all laboratory projects and activities adhere to institutional guidelines with regards to safety, regulatory compliance, and ethical standards.</li><li> Proactively anticipates, identifies, and mitigates potential technical issues during project execution; documents all experimental details and results accurately.</li><li> Develops and maintains a strong understanding of emerging cell, genomics, and related services and scientific needs; seeks opportunities to improve technical capabilities and grow the platform's scientific impact.</li></ul><div></div><div><b>
Experience and Requirements</b></div><ul><li> PhD in Cell Biology, Molecular Biology, Genetics, Bioengineering, or a related scientific discipline with 2+ years of relevant postdoctoral or industry experience; OR Master's with 7+ years of related experience.</li><li> Strong, hands-on familiarity with cell and molecular biology technologies (including mammalian cell culture, iPSC differentiation, gene editing, and sequencing workflows) and their applications is required.</li><li> Demonstrated ability to design, lead, and execute complex scientific projects with interdisciplinary teams to effectively manage and deliver on program goals.</li><li> Ability to adapt plans and priorities to rapidly shifting scientific goals and troubleshoot technical challenges creatively.</li><li> Able to handle a variety of tasks and effectively solve problems as they arise.</li><li> A high level of initiative and the ability to work independently, as well as in a team environment.</li><li> Highly detail-oriented with exceptional record-keeping and data analysis skills.</li><li> Excellent written and verbal communication skills; the ability to effectively communicate complex scientific information to diverse audiences.</li><li> Excellent time management, interpersonal, and organizational skills.</li></ul>
</div></div><div><div><div>The expected base pay range for this position as listed above is based on a 40 hour per week schedule. Broad provides pay ranges representing its reasonable and good faith estimate of what the organization reasonably expects to pay for a position at the time of posting. Actual compensation will vary based on factors including but not limited to, relevant skills, experience, education, qualifications, and other factors permissible by law.</div><div>
</div><div>
At Broad, your base pay is just one part of a comprehensive total rewards package. From day one, this role offers a competitive benefits package including medical, dental, vision, life, and disability insurance; a 401(k) retirement plan; flexible spending and health savings accounts; at least 13 paid holidays; winter closure; paid time off; parental and family care leave; and an employee assistance program, among other Broad benefits.</div><div></div><div><br>
The Broad Institute is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, disability, protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.</div><div></div><div><br>
Should you need a reasonable accommodation to complete the application or interview process, please contact recruiting@broadinstitute.org for assistance.</div></div></div></div></div></div></div><div></div>

Senior Scientist, Cell Engineering Laboratory Lead

Illumina

<div>What if the work you did every day could impact the lives of people you know? Or all of humanity?<div></div>
At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients.<div></div>
Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible.<div></div><div>
To accelerate the adoption of clinical sequencing, Illumina is recruiting a world-class Senior Bioinformatics scientist to work on the development of novel algorithms and production-ready software for deciphering the effects of genetic variants in the human genome.</div><div></div><div>
Major aims would include modeling the effects of genetic variants on gene function, transcriptional regulation, and diagnosis of pathogenic variants in patients with cancer or rare genetic diseases. A key objective is to develop robust, scalable software implementations of research results and publish these findings in peer-reviewed journals. This will improve the accuracy, throughput, and reproducibility of genome interpretation, thereby removing barriers to the clinical adoption of whole genome sequencing. In addition to strong analytical and software development skills, this position will require a high degree of initiative, autonomy, and scientific collaboration.</div><div></div><div>
Responsibilities</div><ul><li>
Contribute to the development of bioinformatics algorithms for interpreting human genetic data, supporting efforts to identify pathogenic genetic variants using information from clinical phenotypes, protein structures, and genomic data.</li><li>
Implement, test, and document software modules under the guidance of senior team members, with a focus on reliability, scalability, and efficiency.</li><li>
Support collaborations with internal and external partners by preparing datasets, running analyses, and contributing to project deliverables.</li><li>
Assist in preparing research results for internal reports, presentations, and publications, and contribute to integrating methods into software products for the genetics community.</li><li>
Listed responsibilities are an essential, but not exhaustive list, of the usual duties associated with the position. Changes to individual responsibilities may occur due to business needs.</li></ul><div></div><div>
Preferred Requirements:</div><ul><li>
Knowledge in bioinformatics, statistics, deep learning, and/or genomics.</li><li>
Possesses strong communication skills</li><li>
Be willing to work in a fast-paced, competitive environment, and hold a strong record of successful delivery of complex scientific projects and publications under tight timelines.</li><li>
PhD in bioinformatics, computation biology, statistics, math or related field with 1+ years of experience</li><li>
Fluency in at least two of statistics, common bioinformatics methods NGS analysis, and oncology.</li><li>
Experience with developing bioinformatics NGS algorithms and methodology.</li><li>
Good communication skills to contribute to cross functional project teams and work with stakeholders.</li></ul><br>
<div></div>
We are a company deeply rooted in belonging, promoting an inclusive environment where employees feel valued and empowered to contribute to our mission. Built on a strong foundation, Illumina has always prioritized openness, collaboration, and seeking alternative perspectives to propel innovation in genomics. We are proud to confirm a zero-net gap in pay, regardless of gender, ethnicity, or race. We also have several Employee Resource Groups (ERG) that deliver career development experiences, increase cultural awareness, and offer opportunities to engage in social responsibility. We are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and genetic information. Illumina conducts background checks on applicants for whom a conditional offer of employment has been made. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable local, state, and federal laws. Background check results may potentially result in the withdrawal of a conditional offer of employment. The background check process and any decisions made as a result shall be made in accordance with all applicable local, state, and federal laws. Illumina prohibits the use of generative artificial intelligence (AI) in the application and interview process. If you require accommodation to complete the application or interview process, please contact accommodations@illumina.com. To learn more, visit: https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf. The position will be posted until a final candidate is selected or the requisition has a sufficient number of qualified applicants. This role is not eligible for visa sponsorship.</div>

Sr. Bioinformatics Scientist

<div><div><div><div><h3 class="jobSectionHeader"><b>General information
</b></h3></div></div><div><div><div><div>Location
</div><div>Cambridge, MA
</div></div><div><div>Ref #
</div><div>43205
</div></div><div><div>Job Family
</div><div>Research
</div></div><div><div>Workplace
</div><div>Hybrid
</div></div><div><div>Date published
</div><div>11/10/2025
</div></div><div><div>Time Type
</div><div>Full time
</div></div><div><div>Pay Range
</div><div>88,000 - 124,000 Usd Annual
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Description &amp; Requirements
</b></h3></div></div><div><div><div><div><p>The Talkowski Laboratory in the Center for Genomic Medicine at Massachusetts General Hospital (MGH) and the Stanley Center for Psychiatric Research at the Broad Institute of MIT and Harvard is seeking a highly motivated, enthusiastic candidate to work with our research group to detect, annotate, and characterize genetic variants in large cohorts of patients with autism and other neuropsychiatric conditions. The Talkowski Lab is a large, diverse, and interdisciplinary group of scientists dedicated to the characterization of genomic variation contributing to human disease. The group is leading and contributing to multiple international consortia that collect, process, aggregate, and analyze genomic sequencing data on a large scale.<br>
<br>
The advertised position is part of the autism and neuropsychiatric subteam, which is part of the larger variant association team. The candidate will process incoming sequencing datasets through established pipelines and will contribute to the development of new analysis workflows. The candidate is expected to effectively communicate with other subteams to ensure that new analysis workflows are distributed across teams.<br>
<br>
We are seeking a candidate to perform high-quality, genome-scale computational analyses under the supervision of the group leader in a timely manner. Successful candidates are expected to be quick learners of new analytical approaches and be capable of applying and developing novel computational methods for solving complex problems. Candidates should therefore have extensive practical programming experience, as well as experience with cloud computation and workflow management systems. The candidate must also have experience with implementing large-scale computational analyses, algorithm development, or statistical analysis. Knowledge of existing analysis tools, methods, and databases in the field of genomics is a significant plus.<br>
<br>
This position is hybrid, with the option of flexible remote working hours.<br>
<br>
<b>Responsibilities:</b></p><br>
<ul><li>
Member of the team analyzing the sequencing data for the Autism Sequencing Consortium. Through this role, you will assist with the development of analysis aiming at (1) calling and annotating variants in short read sequencing data and (2) developing association frameworks to link detected variants to phenotypes.</li><li>
Responsible for processing incoming blended genome exome (BGE) datasets (i.e., a cost-effective method that combines low-pass whole genome sequencing with deep exome sequencing from a single DNA sample) from various neuropsychiatric cohorts and calling copy-number variants in these samples.</li><li>
Responsible for QCing the results and generating reports to share with collaborators.</li><li>
Interact with other subteams, most notably the methods development team, to develop, improve, standardize, optimize, and distribute new and existing methods for genomics analyses to bridge the progress made by different subteams.</li><li>
Provide collaborative bioinformatics analysis in support of other research projects.</li><li>
Track and communicate progress to internal and external stakeholders at meetings and over Slack.</li></ul><br>
<b>
Skills:</b><br>
<ul><li>
Experience with cloud computing and workflow management systems. Experience with Terra, WDL, and Google Cloud is a plus.</li><li>
Proficient in Python, R, and Unix/Linux, and/or other scripting languages.</li><li>
Proven ability to learn new computational tools and packages.</li><li>
Good foundations in statistics.</li><li>
Ability to work independently and in a team setting in an organized fashion.</li><li>
Good interpersonal and oral/written communication skills in English.</li><li>
Strong ability and experience in interpreting computational results and translating these results into biologically relevant conclusions and hypotheses.</li><li>
Experience in genomics and handling large-scale datasets is a plus.</li></ul><br>
<b>
Education:</b><br>
Ph.D. in a computational discipline (e.g., computational biology, bioinformatics, biostatistics, computer science, mathematics, physics, statistics) with 3+ years of related experience preferred but exceptional candidates with less experience are welcome to apply.<div></div><div><br>
Please include a cover letter along with your resume.</div><br>
<div></div>
</div></div><div><div><div>The expected base pay range for this position as listed above is based on a 40 hour per week schedule. Broad provides pay ranges representing its reasonable and good faith estimate of what the organization reasonably expects to pay for a position at the time of posting. Actual compensation will vary based on factors including but not limited to, relevant skills, experience, education, qualifications, and other factors permissible by law.</div><div>
</div><div>
At Broad, your base pay is just one part of a comprehensive total rewards package. From day one, this role offers a competitive benefits package including medical, dental, vision, life, and disability insurance; a 401(k) retirement plan; flexible spending and health savings accounts; at least 13 paid holidays; winter closure; paid time off; parental and family care leave; and an employee assistance program, among other Broad benefits.</div><div></div><div><br>
The Broad Institute is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, disability, protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.</div><div></div><div><br>
Should you need a reasonable accommodation to complete the application or interview process, please contact recruiting@broadinstitute.org for assistance.</div></div></div></div></div></div></div><div></div>

Computational Scientist I - Genome-scale Computational Analyses

JP Techno Park

<p>Gen AI- B2/ C1<br/>Must Have Skillsets:</p><p>Data Science<br/>Machine Learning<br/>Gen AI</p><p>Communication skills and job stability is mandatory criteria for selection.<br/>Experience 5 years at least and preferably tier 1 &amp; 2 colleges.</p><p><b>Required Skills</b>:</p><p>1) Transformer models either fine-tuning or training on open source Transformer based model.build and fine tuning large scale language model using pytorch .</p><p>2) Should have done projects on LLM Rag Gen Ai</p><p>3) hands on experience on python coding.</p><p>4) should have done Gen Ai project</p><p>5)Machine learning or Deep learning any One is mandatory</p><p>6) Excellent communication and Stakeholder management abilities.</p><p>Job Type: Full-time</p><p>Pay: &#8377;2,000,000.00 - &#8377;2,100,000.00 per year</p><p>Experience:</p><ul><li>GenAI Data Scientist: 10 years (Required)</li><li>Data Science: 10 years (Required)</li><li>Machine Learning: 10 years (Required)</li><li>GenAI: 10 years (Required)</li><li>LLM: 10 years (Required)</li><li>Python: 10 years (Required)</li><li>PyTorch: 10 years (Required)</li></ul><p>Work Location: In person</p>

GenAI Data Scientist

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