Qureos Mentor

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

<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

<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>43207
</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>11/05/2025
</div></div><div><div>Time Type
</div><div>Full time
</div></div><div><div>Pay Range
</div><div>70,000 - 92,667 Usd Annual
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Description &amp; Requirements
</b></h3></div></div><p></p><div><div><div><div><p>The Broad Institute of MIT &amp; Harvard, a world leader in genetic research, is looking for an exceptional postdoctoral candidate to join the Cardiovascular Disease Initiative (CVDi) led by Dr. Patrick Ellinor. The successful candidate will join an interdisciplinary team of computational biologists, laboratory scientists, clinicians and faculty members. We are interested in understanding the molecular mechanisms of genetic cardiovascular diseases. We apply cutting-edge technologies in functional genomics to study genes associated with increased risk of cardiovascular diseases. The team works together to identify and validate new genes associated with cardiovascular disease including atrial fibrillation, heart failure and coronary artery disease, and to launch new therapeutic drug discovery programs based on these human genetic insights.</p><div><br>
<br>
</div><div>The candidate will work on NIH funded as well as exploratory academic projects and will conduct experimental research studies at the bench, supervise a research associate, and contribute to therapeutics project(s) targeting cardiovascular disease.<br>
<br>
</div><div>Example workstreams for projects include: designing high-throughput CRISPR-based screens in hPSC-derived cells, characterizing gene functions in hPSC-derived cells, and validating potential drug targets. Other tasks include developing assays for small molecule drug discovery, generating datasets using single-cell RNA sequencing, and validating gene and protein expression with immunofluorescent techniques and in situ hybridization. Additionally, work may involve creating and validating in vitro and in vivo disease models and conducting experiments to understand target gene functions.<br>
<br>
This is an excellent opportunity for a highly motivated candidate interested in exploring the early stages of drug development in a vibrant atmosphere.<br>
<br>
<b>REQUIREMENTS</b><br>
<ul><li>Ph.D. in Biology (Developmental, Molecular, Cellular Biology), Genetics, Biochemistry, or related life science field with 0-2 years of experience in academic setting</li><li>At least one first author publication in a basic/mechanistic area of biology</li><li>Experience in working with pluripotent stem cells, CRISPR genome editing, single-cell RNA sequencing, cell-based imaging techniques</li><li>Hands-on experience in cellular assay development and proficiency with standard assay formats (e.g. flow cytometry, imaging, luminescence-/fluorescence-based cellular readouts, immunohistochemistry) in primary and cultured cells</li><li>Experience with cardiac electrophysiology is preferred</li><li>Experience with mouse models especially in the cardiovascular field is a plus</li><li>Experience with computational skills is a plus</li><li>Ability to develop research plans for executing strategy, operate and maintain equipment, and perform laboratory work, with complete independence</li><li>Track record of working on complex problems, and ability to integrate data from multiple disciplines</li><li>Strong interpersonal, influencing, and collaboration skills to work in a team-oriented, matrix environment, and the ability to work through conflicts</li><li>Outstanding verbal and written communication abilities</li><li>Ability to adapt to and effectively manage changes in a fast paced and dynamic environment</li><li>A passion and curiosity for science and sense of urgency to find new medicines to benefit patients</li></ul>
<br>
The successful candidate will be a results-focused, team-oriented, creative, bench scientist, able to excel in a fast-track environment. The candidate must be self-motivated, detail-oriented and exhibit strong problem-solving skills. In addition, the successful candidate should be a clear and effective communicator, demonstrating strong interpersonal skills to enable collaboration with project teams, peers, and management, for identifying and achieving research goals.</div><p></p>
</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>

Postdoctoral Associate - Cardiovascular Disease Initiative (CDI)

Join Broad Institute and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Broad Institute

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Senior Scientist, Cell Engineering Laboratory Lead

Computational Scientist I - Genome-scale Computational Analyses

Postdoctoral Associate - Cardiovascular Disease Initiative (CDI)