genomics scientist

CRISPR Therapeutics

<div><p><b>Job Description:</b></p><p></p><p><b>
Company Overview</b></p><p>
Since its inception over a decade ago, CRISPR Therapeutics has transformed from a research-stage company advancing programs in the field of gene editing, to a company with a diverse portfolio of product candidates across a broad range of disease areas including hemoglobinopathies, oncology, regenerative medicine, cardiovascular and rare diseases. The Nobel Prize-winning CRISPR science has revolutionized biomedical research and represents a powerful, clinically validated approach with the potential to create a new class of potentially transformative medicines. To accelerate and expand its efforts, CRISPR Therapeutics has established strategic partnerships with leading companies including Vertex Pharmaceuticals. CRISPR Therapeutics AG is headquartered in Zug, Switzerland, with its wholly-owned U.S. subsidiary, CRISPR Therapeutics, Inc., and R&amp;D operations based in Boston, Massachusetts and San Francisco, California.</p><p></p><p><b>
Position </b><b>Summary</b></p><p>
We are seeking a highly motivated and talented Computational Biology &amp; AI Scientist to grow our CRISPR-X and Genomics teams at CRISPR Therapeutics. The scientist in this role will leverage computational genomics and machine learning to advance next-generation in vivo therapies for gene correction and gene insertion into the clinic, including designing novel CRISPR proteins and characterizing gene-editing safety. The successful candidate will own technical strategy, collaborate closely with cross-functional research groups, and deliver contributions that directly impact patients with serious diseases. The position requires outstanding skills in computational biology, ML/AI, and genomics; a high degree of scientific rigor and attention to detail; and a passion for creating new medicines for patients.</p><p></p><p><b>
Responsibilities</b></p><ul><li>
Lead computational genomics and ML/AI activities in a cross-functional drug development setting</li><li>
Generate and test hypotheses on genome-scale data using analytical, statistical, and machine learning methods</li><li>
Perform computational analyses to thoroughly characterize off-target gene editing to ensure the safety of CRISPR-based drug products</li><li>
Apply and develop ML/AI tools to engineer and optimize CRISPR and other gene-editing modalities for improved efficacy and specificity, working in iterative design-test cycles with a world-class team of cellular and molecular biologists</li><li>
Develop and maintain reproducible computational and ML/AI pipelines for genomic and molecular data analysis</li><li>
Author scientifically rigorous research reports to support IND submissions and other regulatory filings</li><li>
Present scientific findings to a broad range of audiences, including senior leadership, to help inform decision-making for therapeutic programs
</li><li>Dissect published literature and cutting-edge developments in the ML/AI space to find novel solutions for in vivo gene-editing problems
</li></ul><p></p><p><b>Minimum Qualifications</b></p><ul><li>
Ph.D. in computational biology, bioinformatics, genomics, machine learning, computer science, or a related field</li><li>
At least 2 years of industry or postdoctoral experience characterizing on-/off-target editing, optimizing gene-editing modalities, or developing AI/ML-driven approaches for therapeutic protein design</li><li>
Demonstrated record of developing computational pipelines to analyze high-throughput DNA sequencing data, with proficiency in common bioinformatics tools (e.g., BWA, SAMtools, GATK, IGV)</li><li>
Proven ability to develop and apply machine learning and/or AI methods to solve challenging problems in the biological domain</li><li>
Proficiency with Python is essential; familiarity with additional languages such as C++, R, or Julia is a plus</li><li>
Ability to work independently and effectively in a matrix environment, prioritize and manage multiple tasks simultaneously, and balance competing priorities</li><li>
Excellent writing, reviewing, and presentation skills</li><li>
A high degree of scientific rigor, accuracy, and attention to detail</li></ul><p><b><br>
Preferred Qualifications</b></p><ul><li>
Experience applying ML/AI tools for protein structure prediction (e.g., AlphaFold), de novo protein design (e.g., RFdiffusion), and/or biomolecular sequence modeling (e.g., ESM, Evo)</li><li>
Proficiency with statistical and machine learning methods, including familiarity with ML frameworks (e.g., PyTorch, TensorFlow, or scikit-learn)</li><li>
Familiarity with sequencing platforms (Illumina, PacBio, Oxford Nanopore, 10x Genomics) and NGS library preparation methods</li><li>
Demonstrated record of authoring research reports to support regulatory filings (e.g., IND modules, Investigator's Brochures)</li><li>
Proficiency in managing and analyzing large-scale genomic data in a Linux and/or cloud environment (e.g., AWS)</li></ul><p><b><br>
Competencies</b></p><ul><li>
Collaborative &ndash; Openness, One Team</li><li>
Undaunted &ndash; Fearless, Can-do attitude</li><li>
Results Orientation &ndash; Delivering progress toward our mission. A sense of urgency in solving problems.</li><li>
Entrepreneurial Spirit &ndash; Proactive. Ownership mindset.</li></ul><p></p><p>
CRISPR Therapeutics believes in fostering a dynamic workplace that balances remote work flexibility with the benefits of in-person interactions. Our employees work at least three days on-site, creating a collaborative work environment, where we cultivate mentorship opportunities, increase cross-functional communication and offer opportunities for our employees to connect. Certain lab based and manufacturing positions are located fully on-site.</p><p></p><p>
Senior Clinical Scientist: Base pay range of $140,000 to $150,000+ bonus, equity and benefits</p><p>
The range provided is CRISPR Therapeutics&rsquo; reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as experience, training, skills, and abilities.</p><p></p><p>
CRISPR Therapeutics, Inc. is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation or any characteristic protected under applicable law.
</p><p></p><p>To view our Privacy Statement, please click the following link: http://www.crisprtx.com/about-us/privacy-policy</p></div>

Scientist II, Computational Biology & AI

Broad Institute

<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>43895
</div></div><div><div>Workplace
</div><div>Hybrid
</div></div><div><div>Date published
</div><div>03/18/2026
</div></div><div><div>Time Type
</div><div>Full time
</div></div><div><div>Pay Range
</div><div>$25.00/hr - $33.33/hr
</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 of MIT and Harvard is one of the world's leading biomedical research institutes. It seeks to discover the molecular basis of major human diseases, develop effective new approaches to diagnostics and therapeutics, and disseminate discoveries, tools, methods, and data openly to the entire scientific community. Founded in 2004, the Broad Institute includes faculty, professional staff, and students from throughout the MIT and Harvard biomedical research communities, with collaborations spanning the globe.</p><p>
We are seeking motivated individuals to work in a cutting-edge environment to serve as a clinical genomics assistant jointly for the Clinical Genome Resource (ClinGen) and the Broad Clinical Laboratory LLC (BCL).<br>
<br>
ClinGen is an NIH-funded program that is building authoritative resources to define the clinical relevance of genes and variants for use in precision medicine and research (https://www.clinicalgenome.org/). BCL is a CLIA licensed, CAP accredited clinical laboratory providing physicians and physician-researchers with high quality molecular tests (https://broadclinicallabs.org/about-us/).<br>
<br>
This position would begin with training within our variant and gene-curation teams which support variant classification and gene-disease validity assessment in the clinical laboratory and ClinGen followed by supporting an array of BCL tests (including germline whole genome) and ClinGen disease-specific Expert Panel activities and affiliated projects within ClinGen and at the Broad Institute of MIT and Harvard.</p><p><b><br>
Principal Duties and Responsibilities:</b></p><ul><li>
Support ClinGen curation activities</li><li>
Research the significance of variants and genes through literature and data review</li><li>
Classify variant- and gene-disease associations</li><li>
Support research projects that require curation of genomic knowledge</li><li>
Support the BCL clinical interpretation team</li><li>
Assist with variant and gene curation activities related to the analysis of genome data and/or test development, using existing and newly-developed analysis tools</li><li>
Provide project management support, including tracking of cases, communication with providers, and weekly task tracking updates</li><li>
Assess, maintain and improve variant annotation and filtration capabilities</li></ul><br>
In addition, the CGA should possess excellent organizational skills and the ability to interact effectively with a local team at the Broad Institute and an international network of laboratories, disease experts and data sources and balance and manage multiple tasks and projects independently. The ClinGen team is part of the Translational Genomics Group (TGG, https://the-tgg.org/). The TGG supports the use of genomics in medicine, by focusing on community-centered projects that promote collaboration, data sharing and open science. The TGG is led by Heidi Rehm and consists of high-impact projects such as the Center for Mendelian Genomics co-led by Anne O&rsquo;Donnell-Luria and the gnomAD project co-led by Mark Daly. The BCL team is part of the Genomics Platform and is led by Niall Lennon. This is an opportunity to play a role in large-scale genomics, informatics, and disease genetics as well as contribute to the development and implementation of transformative new clinical tests that could impact patients on an individual basis. The CGA will engage regularly with genetic counselors involved in both ClinGen and BCL activities as well as periodic networking opportunities with the wider genetic counseling community at the Broad Institute.<br>
<br>
<b>Qualifications:
</b><br>
<div><ul><li>Bachelor of Arts (BA) or Bachelor of Science (BS) degree in a scientific field, with a strong preference for coursework in genetics or molecular genetics</li><li>
Excellent written and verbal communication skills</li><li>
Required ability to work across our Cambridge and Burlington locations</li><li>
Start date: ASAP or by May or June 2026 with a minimum of a two-year commitment</li></ul></div><div></div><div><br>
Job locations: 300 Binney, Cambridge, MA and 27 Blue Sky Drive, Burlington MA<br>
<br>
This role will be a hybrid position with an expectation of a minimum of 2-3 days physically in the office.<br>
<br>
The Broad Institute will not offer visa sponsorship for this opportunity.<br>
</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>

Clinical Genomics Assistant

<div><p><b>Job Description:</b></p><p></p><p><b>
Company Overview</b></p><p>
Since its inception over a decade ago, CRISPR Therapeutics has transformed from a research-stage company advancing programs in the field of gene editing, to a company with a diverse portfolio of product candidates across a broad range of disease areas including hemoglobinopathies, oncology, regenerative medicine, cardiovascular and rare diseases. The Nobel Prize-winning CRISPR science has revolutionized biomedical research and represents a powerful, clinically validated approach with the potential to create a new class of potentially transformative medicines. To accelerate and expand its efforts, CRISPR Therapeutics has established strategic partnerships with leading companies including Vertex Pharmaceuticals. CRISPR Therapeutics AG is headquartered in Zug, Switzerland, with its wholly-owned U.S. subsidiary, CRISPR Therapeutics, Inc., and R&amp;D operations based in Boston, Massachusetts and San Francisco, California.</p><p></p><p><b>
Position Summary</b></p><p>
We are seeking a Senior Research Associate to join our next generation sequencing (NGS) wet lab. The successful candidate will be responsible for the execution of various molecular assays and NGS library preparation workflows to support the development of novel genetic therapies for serious diseases. This position requires enthusiasm, attention to detail, collaborative spirit, and a desire to create new medicines for patients. This position reports to the Associate Director, Genomics.
</p><p></p><p><b>Responsibilities</b></p><ul><li>
Perform DNA/RNA extractions from biological samples, including blood/plasma, primary cells, and tissue samples</li><li>
Transform nucleic acid samples into next generation sequencing libraries for a variety of downstream applications using manual or automated methods
</li><li>Perform routine quality control experiments on sequencing libraries (fluorescent quantification, capillary electrophoresis, and qPCR) and prepare samples for sequencing</li><li>
Maintain sequencing instrumentation and laboratory facilities; troubleshoot instrument and sequencing issues</li><li>
Attend project team meetings and communicate effectively across functional teams to ensure timely completion of concurrent projects</li><li>
Track sample data and project timelines through a laboratory information management system (LIMS) and electronic laboratory notebook (ELN)</li></ul><p></p><p><b>
Minimum Qualifications</b></p><ul><li>
BS/MS in biology or related discipline</li><li>
Industry Experience<ul><li>
Senior Research Associate &ndash; 4-7+ years or 2-5+ years with advanced degree</li></ul></li><li>
Proven experience in NGS library preparation including amplicon sequencing, target enrichment, long read technologies, &amp; WGS</li><li>
Hands-on experience with Illumina next generation sequencing (NGS) instruments</li><li>
Proficiency in relevant areas of molecular biology and genetics</li><li>
Experience working collaboratively with wet and dry lab scientists, and understanding large data sets</li><li>
Excellent organizational and communication skills</li><li>
Ability to think strategically, manage time efficiently, and work independently in a results-oriented research team</li></ul><p></p><p><b>
Preferred Qualifications</b></p><ul><li>
Prior research experience in the biotech industry with a focus on next generation sequencing</li><li>
Experience with Hamilton liquid handlers, Illumina BaseSpace, and a laboratory information management system (LIMS)</li><li>
Experience with NGS-based assay development and troubleshooting</li><li>
Experience with long-read sequencing technologies such as Oxford Nanopore or PacBio</li><li>
Experience with gene editing technologies</li></ul><p></p><p><b>
Competencies</b></p><ul><li>
Collaborative &ndash; Openness, One Team</li><li>
Undaunted &ndash; Fearless, Can-do attitude</li><li>
Results Oriented &ndash; Delivering progress toward our mission. Sense of urgency in solving problems.</li><li>
Entrepreneurial Spirit &ndash; Proactive. Ownership mindset.</li></ul><p></p><p>
CRISPR Therapeutics believes in fostering a dynamic workplace that balances remote work flexibility with the benefits of in-person interactions. Our employees work at least three days on-site, creating a collaborative work environment, where we cultivate mentorship opportunities, increase cross-functional communication and offer opportunities for our employees to connect. Certain lab based and manufacturing positions are located fully on-site.</p><p></p><p>
Senior Manager: Base pay range of $98,000 to $108,000+ bonus, equity and benefits</p><p>
The range provided is CRISPR Therapeutics&rsquo; reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as experience, training, skills, and abilities.</p><p></p><p>
CRISPR Therapeutics, Inc. is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation or any characteristic protected under applicable law.
</p><p></p><p>To view our Privacy Statement, please click the following link: http://www.crisprtx.com/about-us/privacy-policy</p></div>

Senior Research Associate, GACT

Lawrence Berkeley National Laboratory

<div><div>Berkeley Lab&rsquo;s (LBNL) Joint Genome Institute (JGI) has an opening for a Senior Scientific Data Platform Engineer to play a critical role in transforming raw scientific outputs into high-value, AI-ready data assets that directly support JGI's mission.</div><div></div><div><br>
In this exciting role, you will analyze scientific use-cases, data management challenges, and design robust, automated, and cost-effective solutions to address them. Working at the intersection of scientific data and the data lakehouse platform, this position will contribute to the development and maintenance of JGI&rsquo;s Data Lakehouse effort, leading ongoing integration efforts to ensure scientific data is well-structured, accessible, and optimized for use by domain scientists and downstream AI applications.</div><div></div><div><br>
The JGI&rsquo;s mission is to provide the global research community with access to the most advanced integrative genome science capabilities in support of the DOEs research mission to solve the world&rsquo;s evolving energy and environmental challenges. The JGI supports projects in genome sequencing, synthesis, transcriptomics, metabolomics, and natural products in plants, fungi, algae, and microorganisms. This position is headquartered on the Lab&rsquo;s main site at the Integrative Genomics Building (IGB) (Virtual Tour).</div><div></div><div><br>
This position has an anticipated start date of May 1, 2026.</div><div></div><div><br>
We&rsquo;re here for the same mission, to bring science solutions to the world. Join our team and YOU will play a supporting role in our goal to address global challenges! Have a high level of impact and work for an organization associated with 17 Nobel Prizes!</div><div></div><div><i><br>
Why join Berkeley Lab?</i></div><div>
We invest in our employees by offering a total rewards package you can count on:</div><ul><li>
Exceptional health and retirement benefits, including pension or 401K-style plans</li><li>
A culture where you&rsquo;ll belong - we are invested in our teams!</li><li>
In addition to accruing vacation and sick time, we also have a Winter Holiday Shutdown every year.</li><li>
Parental bonding leave (for both mothers and fathers)</li><li>
Pet insurance</li></ul><div></div><p><br>
What You Will Do:</p><ul><li>
Analyze and evaluate complex scientific use-cases and design automated system solutions.</li><li>
Provide technical expertise in identifying, evaluating, and developing cost-effective systems and procedures that meet user requirements.</li><li>
Lead the design and implementation of data integration processes for the JGI's Data Lakehouse, ensuring large scientific datasets are structured for efficient querying and analysis.</li><li>
Design, build, and maintain fault-tolerant, scalable, and efficient Extract, Transform, Load (ETL) data pipelines to ingest, transform, and load genomic data and associated metadata into the Data Lakehouse.</li><li>
Configure system settings and options.</li><li>
Plan and perform unit, integration, and acceptance testing.</li><li>
Create system specifications aligned with business requirements.</li><li>
Provide consultation and guidance to domain scientists and other users on the use of automated systems.</li><li>
Collaborate closely with cross-functional teams to resolve business and system-related issues.</li></ul><div></div><p><br>
What Is Required:</p><ul><li>
A Bachelor&rsquo;s Degree (or equivalent knowledge/training) in Computer Science, Data Engineering, or a related technical field and a minimum of 8 years of demonstrated experience structuring large-scale datasets for efficient use in Data Lakehouse environments, leveraging technologies such as Parquet, Iceberg, Dremio, Spark, or similar lakehouse and data warehousing platforms or an equivalent combination of education and experience.</li><li>
Demonstrated proficiency with modern Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) tools and frameworks.</li><li>
Strong scripting skills in data engineering languages, including Python (with Pandas and PySpark) and advanced SQL for data manipulation and performance optimization.</li><li>
Strong analytical skills including the ability to identify problems, troubleshoot, and demonstrate good judgement in selecting methods and techniques for obtaining solutions.</li><li>
Excellent oral and written communication skills, including experience organizing and presenting technical information to varying audiences.</li><li>
Demonstrated interpersonal skills including experience collaborating with an interdisciplinary research team.</li></ul><div></div><p><br>
Desired Qualifications:</p><ul><li>
A Master&rsquo;s Degree (or equivalent knowledge/training) in Computer Science, Data Engineering, or a related technical field.</li><li>
Experience with Data Lakehouse technologies like Dremio or Spark.</li><li>
Domain knowledge of genomics data.</li></ul><div></div><p><br>
Additional Information:</p><ul><li>
Application Date: Priority consideration will be given to candidates who apply with a resume and cover letter by March 31, 2026. Applications will be accepted until the job posting is removed.</li><li>
Appointment Type: This is a full time, exempt from overtime pay (monthly paid), 2 year (benefits eligible), Term appointment with the possibility of extension or conversion to Career appointment based upon satisfactory job performance, continuing availability of funds, and ongoing operational needs.</li><li>
Salary Range: This position has a budgeted salary range of $139,440 - $174,312 annually, which fits within the full salary range of $139,440 - $235,308 annually for job code C71.3. It is not typical for an individual to be offered a salary at or near the top of the range for a position. Salary will be commensurate with the final candidate&rsquo;s qualification and experience, including skills, knowledge, relevant education, certifications, and aligned with the internal peer group.</li><li>
Background Check: This position is subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.</li>
Work Modality: This position offers flexibility in work mode, including onsite, hybrid, full-time telework, or remote work, provided the individual resides within the contiguous United States. Onsite work will take place at Lawrence Berkeley National Lab, located at 1 Cyclotron Road, Berkeley, CA 94720. Work schedules are dependent on business needs. A REAL ID or other acceptable form of identification is required to access Berkeley Lab sites (for more information <li>).</li><li>
Relocation Assistance: This position is eligible for relocation assistance.</li><li>
Work Authorization: Applicants must be legally authorized to work in the United States. Berkeley Lab does not provide visa sponsorship for this position.</li></ul><div></div><div><br>
Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov</div><div></div><div><br>
Equal Employment Opportunity Employer: The foundation of Berkeley Lab is our Stewardship Values: Team Science, Service, Trust, Innovation, and Respect; and we strive to build community with these shared values and commitments. Berkeley Lab is an Equal Opportunity Employer. We heartily welcome applications from all who could contribute to the Lab's mission of leading scientific discovery, excellence, and professionalism. In support of our rich global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories under State and Federal law.</div><div></div><div><br>
Misconduct Disclosure Requirement: As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.</div></div><div></div>

Senior Scientific Data Platform Engineer (Joint Genome Institute)

Elanco

Education : EQUIVALENTEXPERIENCE
<br>
<div><p><b>At Elanco (NYSE: ELAN) &ndash; it all starts with animals!</b></p><p><b>
As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets. </b><b>At Elanco, we are driven by our vision of Food and Companionship Enriching Life and our purpose &ndash; all to Go Beyond for Animals, Customers, Society and Our People.</b><b>
</b></p><p><b>At Elanco, we pride ourselves on fostering a diverse and inclusive work environment. We believe that diversity is the driving force behind innovation, creativity, and overall business success. Here, you&rsquo;ll be part of a company that values and champions new ways of thinking, work with dynamic individuals, and acquire new skills and experiences that will propel your career to new heights.</b></p><p><b>
Making animals&rsquo; lives better makes life better &ndash; join our team today!</b></p><p><b>
Senior Scientist (R2)- Target Validation and Early Project Lead</b></p><p>
As a Senior Scientist in the Mechanistic Biology team, you will lead novel target identification and validation across multiple animal diseases to build the drug discovery pipeline. This is a non-lab role focused on guiding cross-functional teams through early-stage drug discovery by leveraging advanced in vitro techniques, functional genomics, and AI/ML data analysis.</p><p><b>
Your Responsibilities:</b></p><ul><li><p>
Lead the identification and prioritization of novel targets using in-vitro/vivo experiments, literature reviews, biological assays, bioinformatics, functional genomics, AI/ML and novel approaches.</p></li><li><p>
Guide cross-functional teams through the first stage of drug discovery, from initial concept to target validation.</p></li><li><p>
Develop strategies to de-risk targets and enhance commercial viability by integrating Chemistry, Manufacturing, and Controls (CMC) considerations.</p></li><li><p>
Manage external CRO partnerships and foster strategic collaborations across research teams, including, technical development, preclinical development, discovery, medicinal chemistry and computational biology.</p></li><li><p>
Develop and integrate biomarker strategies and translational in vitro disease models to accelerate early-stage discovery.</p></li><li><p>
Lead the building of new indications areas identified as important in animal health.</p></li><li><p>
Assess on-target, off-target, and safety risks of pipeline assets, while providing expert physiological support on disease and drug effects.</p></li><li><p>
Develop and integrate biomarker strategies (biological, AI-enabled, imaging) from early validation through registrational studies.</p></li><li><p>
Continuously enhance expertise in study design/model development.</p></li><li><p>
Ensure compliance with regulatory standards (e.g., GLP/GxP), accurate budget tracking, scientific integrity, and animal welfare principles.</p></li></ul><p><b>
What You Need to Succeed (minimum qualifications):</b></p><ul><li><p>
Education: Ph.D. in Cell/Molecular Biology or a related field with several years of postdoctoral training.</p></li><li><p>
Experience: Professional experience in industry research and early-stage biotech/drug discovery, including CRO management.</p></li><li><p>
Top 2 skills: Expert in target identification and validation (including approaches such as cell line development, biological assay development, for both small and large molecule drugs, etc). Expertise in New Approach Methodologies (NAMs) such as organoids/iPSCs with proficiency in using AI/ML for target identification and validation.</p></li></ul><p><b>
What will give you a competitive edge (preferred qualifications):</b></p><ul><li><p>
DVM with aforementioned Ph.D and training.</p></li><li><p>
3 years of experience in a pharmaceutical company.</p></li><li><p>
Demonstrated success identifying novel targets and a proven publication record.</p></li><li><p>
Demonstrated ability to lead projects.</p></li><li><p>
Working knowledge of applicable statistical principles and data analysis techniques.</p></li><li><p>
Experience with compound library screening and biomolecular training (RNA-seq, omics, flow cytometry).</p></li><li><p>
Ability to collaborate and influence cross functionally. Ability to work in a fast paced, agile environment.</p></li><li><p>
Experience in animal health industry.</p></li></ul><p><b>
Additional Information:</b></p><p>
Travel: up to 25 %</p><p>
Location: Indianapolis, IN , Hybrid Environment</p><p></p><p>
Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status</p><p>
Elanco may use automated tools, including AI, to support parts of our recruitment process, such as reviewing applications against job‑related criteria and/or transferrable skills. These tools help ensure a consistent, structured evaluation, but they do not make hiring decisions. All decisions involve a human reviewer. For more information on how we handle personal data, please see our Elanco Workforce Privacy Notice.</p></div>

Senior Research Scientist- Target Validation and Early Project Lead

NewLimit

<div>
 <strong>
  About NewLimit
  <br/>
  <br/>
 </strong>
 NewLimit is a biotechnology company working to radically extend human healthspan. We&rsquo;re developing medicines to treat age-related diseases by reprogramming the epigenome, a new therapeutic mechanism to restore regenerative potential in aged and diseased cells. We leverage functional genomics, pooled perturbation screening, and machine learning models to unravel the biology of epigenetic aging and disease using experiments of unprecedented scale.
 <br/>
 <br/>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 NewLimit is seeking a Data Scientist to join our Predict team. In this role, you will develop, improve, and operate bioinformatics pipelines supporting large-scale single-cell perturbation screens. Success in this position requires a deep attention to methodological detail at every stage of the analysis, as well as careful measurement and evaluation of pipeline performance.
 <br/>
 <br/>
 You will work closely with experimentalists and computational scientists to maintain core infrastructure, assess emerging analysis tools, and build robust software solutions that improve efficiency, scalability, and reliability.
 <br/>
 <br/>
 <strong>
  As a Member Of Our Team, You Will
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Collaborate with Write, Read, and Predict teams to support the design, execution, and interpretation of experiments using single-cell and multi-omics data
  </li>
  <li>
   Contribute to the development and implementation of primary and secondary analysis software.
  </li>
  <li>
   Improve and run production pipelines for large-scale single-cell perturbation screens to ensure timely and reliable data delivery
  </li>
  <li>
   Contribute to the development of reproducible, well-documented computational workflows and internal best practices
  </li>
  <li>
   Develop microservice web applications and integrations that reduce wet lab manual effort and improve data flow between teams
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s, Master's, or PhD in Bioinformatics, Biostatistics, Computational Biology, Computer Science, or a related technical field
  </li>
  <li>
   Experience analyzing and interpreting single-cell or multi-omics datasets (e.g., scRNA-seq, multiome, scATAC-seq), with hands-on exposure to perturbation screens preferred
  </li>
  <li>
   Familiarity with core single-cell bioinformatics workflows, including demultiplexing, alignment, and quality control
  </li>
  <li>
   Strong software engineering fundamentals and experience working with bioinformatics tools and pipelines
  </li>
  <li>
   Working knowledge of statistical and machine learning methods applied to biological data (e.g. regression analysis, supervised learning) sufficient to critically evaluate analytical choices and interpret results conceptually
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  </li>
 </ul>
 Nice to haves
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 <ul>
  <li>
   Proficiency with Python-based data science tools (NumPy, SciPy, Pandas)
  </li>
  <li>
   Experience with cloud computing environments (AWS, GCP, or Azure)
  </li>
  <li>
   Strong Python programming skills and comfort working in Unix-based environments
  </li>
  <li>
   Experience with containerized workflows (Docker, Singularity)
  </li>
  <li>
   Familiarity with molecular biology workflows and experimental genomics
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   <br/>
  </li>
 </ul>
 <strong>
  Benefits
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  <br/>
 </strong>
 <ul>
  <li>
   Health, dental, and vision insurance
  </li>
  <li>
   401(k) with company match
  </li>
  <li>
   Industry-leading paid time off (PTO) -- 20 days/year for all employees + holidays
  </li>
  <li>
   Paid parental leave
  </li>
  <li>
   Meals and snacks on-site
   <br/>
   <br/>
  </li>
 </ul>
 Salary Range: $130,000 to $170,000. Compensation for the role will depend on a number of factors, including a candidate&rsquo;s qualifications, skills, competencies, and experience. NewLimit offers a competitive benefits package, which includes a 401k, healthcare coverage, and 20 days of PTO. Learn more at: https://www.newlimit.com/careers *This compensation and benefits information is based on Company's good faith estimate as of the date of publication and may be modified in the future.
</div>


Data Scientist

Broad Institute of MIT and Harvard

<div>
 We are seeking an exceptional and motivated Research Scientist to join the Martin-Rufino Group at the Lander Lab at the Broad Institute. In this position, you will lead the effort to build the first comprehensive functional maps of transcription factor activity, with the ultimate goal of fundamentally transforming hematopoietic stem cell transplantation as we know it. You will play a critical role in discovering the fundamental principles of transcription factor function and engineering new regulatory programs that enable minimally toxic transplants, directly shaping the future of cell therapies.
 <br/>
 <br/>
 The successful candidate will develop new high-throughput technologies at the intersection of genetic perturbations, single-cell genomics, and epigenomic tools to uncover the complex regulatory mechanisms governing human cellular identity. You will also lead the translation of these foundational genomic insights into tangible, life-saving therapies, by engineering synthetic circuits into human cells and interrogating their effects. You will have direct access to the Broad&rsquo;s world-class technology platforms, enabling you to scale experiments at a throughput rarely possible in traditional academic settings. You will collaborate with a dynamic community of scientists and Platforms across the Broad Institute, including leaders in computational biology, genome engineering, and clinical research, to drive discoveries that define the next era of human genomics.
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 <br/>
 <strong>
  While optional, a cover letter is encouraged so we can better understand your journey, what drew you to our work, and why you feel this lab is the right next step for your career.
  <br/>
  <br/>
 </strong>
 CHARACTERISTIC DUTIES
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 <br/>
 <ul>
  <li>
   Pioneer and lead independent research projects focused on developing large-scale technologies for mapping transcription factor activity, integrating genetic perturbations with single-cell epigenomic measurements
  </li>
  <li>
   Drive the translation of genomic insights into engineered circuits that redefine hematopoietic stem cell transplants
  </li>
  <li>
   Collaborate with scientists and postdoctoral fellows, and provide scientific leadership and mentorship to research associates to make fundamental discoveries in gene regulation and cell biology
  </li>
  <li>
   Make significant contributions to scientific papers, quantitative data analyses and presentations
  </li>
  <li>
   Contribute to generation of protocols and data analyses
  </li>
  <li>
   Work with multidisciplinary teams across the Institute and serve as a liaison between the lab and collaborators at the Broad to accelerate the clinical translation
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Ph.D. in Molecular Biology, Genetics, Biochemistry, or related life science field
  </li>
  <li>
   0&ndash;5 years of relevant post-PhD laboratory experience in academia or industry
  </li>
  <li>
   Strong hands-on experience in high-throughput sequencing-based assays (particularly single-cell genomics, e.g. Perturb-seq, scATAC-seq, scRNA-seq, etc.), molecular biology (cloning, lentiviral preparation), flow cytometry and cell culture
  </li>
  <li>
   Experience with genome editing tools and their delivery, including CRISPR-based perturbation in human cells, viral-like particles, lipid-nano particles highly preferred
  </li>
  <li>
   Ability to design rigorous experiments and independently drive projects from hypothesis generation through publication
  </li>
  <li>
   Fluency in interpreting high-dimensional datasets and working closely with computational biologists to drive discovery
  </li>
  <li>
   Strong written and verbal communication skills, with the ability to clearly present complex data
  </li>
  <li>
   Ability to collaborate effectively in an interdisciplinary environment spanning experimental and computational biology
   <br/>
   <br/>
  </li>
 </ul>
 Pay Range: $88,000.00/yr - $124,000.00/yr
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
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 <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.
 <br/>
 <br/>
 Should you need a reasonable accommodation to complete the application or interview process, please contact recruiting@broadinstitute.org for assistance.
</div>


Research Scientist I - Martin-Rufino Group

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