Research fellow jobs in Somerville, MA

Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world's largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection. We are seeking a cybersecurity-focused co-op student to assist in the design, deployment, and monitoring of a cloud-based Operational Technology (OT) honeypot. This role offers hands-on experience in threat detection, network segmentation, and cloud integration, with potential interaction between virtual and physical lab environments. Assist in the deployment and configuration of a cloud-based OT honeypot (e.g., using AWS, Azure, or GCP). Support integration between the honeypot and physical lab infrastructure. Configure network segmentation and firewall rules to isolate honeypot traffic. Monitor honeypot activity and analyze captured data for threat intelligence. Document architecture, configurations, and observed behaviors. Collaborate with team members to simulate OT protocols (e.g., Modbus, DNP3) and emulate industrial devices. Apply basic hardening techniques to honeypot systems to simulate realistic environments. Support log forwarding and integration with SIEM platforms (e.g., Splunk, ELK). Assist in vulnerability scanning and patching of honeypot components. Required Skills Currently enrolled in a degree program in Cybersecurity, Computer Science, Engineering, or a related field. Strong understanding of networking fundamentals: IP addressing, VLANs, routing, TCP/UDP, DNS, DHCP, NAT. Familiarity with virtualization platforms (e.g., VMware, Proxmox, Hyper-V). Basic experience with cloud platforms (AWS, Azure, or GCP): VPCs, subnets, security groups. Exposure to cybersecurity tools: Wireshark, tcpdump, vulnerability scanners (e.g., Tenable, Qualys). Knowledge of Windows and Linux OS environments. Understanding of Active Directory and basic hardening practices. Comfort with CLI tools and scripting (e.g., Bash, PowerShell, Python). Preferred Skills Experience with honeypot frameworks (e.g., Conpot, T-Pot, Cowrie). Familiarity with OT protocols and industrial control systems. Hands-on experience with SIEM tools and log analysis. Knowledge of threat detection and incident response workflows. Experience with secure authentication practices. Experience writing technical reports. FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.

Responsibilities: Conducting proprietary research evaluating biotech companies' therapeutic pipeline by analyzing scientific literature, attending medical conferences, and consulting industry experts Writing research reports for initiations of coverage, analysis of data, deep dive in disease/ technology/ IP/ regulation/ policy, and industry/ company news Building and maintaining financial models Conceiving and executing on differentiated project ideas Interfacing with company management teams, internal sales and trading personnel, and institutional investors Candidate should understand that the team is highly motivated to become top-ranked in the biotech equity research Qualifications: ~1+ years of biopharmaceutical investment research, consulting, or industry; prior experience in biopharmaceuticals equity research with full license is a plus Motivated to rise in the sell-side industry in the long-term Advanced degree (PhD/MD/ PharmD) in life sciences preferred, though not required; a strong academic track record is essential Proficiency in written/verbal communication Experience building financial models using excel a required on-the-job skill; prior experience is a plus Motivated, hard-working, attention to detail, team player Can type >120 words per minute Primary Location Full Time Salary Range of $100,000 - $120,000.

Guggenheim is seeking an exceptional candidate to join as a sell-side Equity Research Associate to help cover the Biotechnology sector. This person will be responsible for following the progress of public/private Biotechnology companies and will support the research team in its efforts to analyze companies and make stock recommendations to institutional investor clients. In addition to a background in the life sciences, the ideal candidate will have a passion for stocks, interest in equity research and financial modeling, specifically in the Biotechnology sectors with a focus on oncology. The position is located in Boston, MA. Essential Job Functions * Provide support to the Senior Analyst through fundamental analysis and investment research in equity markets with an emphasis on original, bottom-up research in the Biotechnology sector * Analyze individual Biotechnology companies to build and update fully integrated financial and valuation models * Write comprehensive research reports and present findings; draft reports/notes on relevant investment themes, events and breaking news * Conduct primary research through industry sources including, but not limited to, financial analysis, due diligence clinical data and industry trends, company management and strategies * Organize physician calls for investors and investor events * Update analyst marketing handout regularly * Interact with Firm's institutional sales force and investor clients * Respond to client and internal inquiries regarding research findings and directives Preferred Qualifications * MD, PhD., or other advanced life sciences degree * 1-3 years of professional industry experience in industry, consulting, or similar * Exceptional analytical, verbal, and written communication skills * Analytical mindset, intellectual curiosity, aptitude for math/statistics Basic Qualifications * Bachelor's degree required * Ability to search, understand and interpret scientific and medical publications and presentations Work Location * Currently, this role is expected to be in the Boston office at least 4 days per week. Salary * Annual base salary between $140,000 and $165,000. * The base salary range represents the low and high end of the anticipated base salary range for this position. Actual base salaries may vary depending on factors such as location and experience. The range listed reflects base salary only, and the total compensation package may include other components such as incentive compensation. About Us: Guggenheim Securities is the investment banking and capital markets business of Guggenheim Partners, a global investment and advisory firm. Guggenheim Securities offers services that fall into four broad categories: Advisory, Financing, Sales and Trading, and Research. Guggenheim Securities is headquartered in New York, with additional offices in Chicago, Boston, Atlanta, San Francisco, and Houston. Guggenheim is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. For more information, please visit GuggenheimSecurities.com, follow us on LinkedIn or contact us at ****************************************** or ************. About Us: Guggenheim Securities is the investment banking and capital markets business of Guggenheim Partners, a global investment and advisory firm. Guggenheim Securities offers services that fall into four broad categories: Advisory, Financing, Sales and Trading, and Research. Guggenheim Securities is headquartered in New York, with additional offices in Chicago, Boston, Atlanta, San Francisco, and Houston. For more information, please visit GuggenheimSecurities.com, follow us on LinkedIn or contact us at ****************************************** or ************. Guggenheim Securities, LLC ("GS") does not accept unsolicited resumes or applications. GS considers any resume or application to be unsolicited if (a) received from an entity or individual without a current recruiting agreement with GS or (b) submitted to anyone at the firm other than through the process set forth in the recruiting agreement between GS and the submitting entity or individual, and GS will not pay a fee to any entity or individual for such submission.

Do you want to be part of an inclusive team that works to develop innovative therapies for patients? Every day, we are driven to develop and deliver innovative and effective new medicines to patients and physicians. If you want to be part of this exciting work, you belong at Astellas! Astellas Pharma Inc. is a pharmaceutical company conducting business in more than 70 countries around the world. We are committed to turning innovative science into medical solutions that bring value and hope to patients and their families. Keeping our focus on addressing unmet medical needs and conducting our business with ethics and integrity enables us to improve the health of people throughout the world. For more information on Astellas, please visit our website at **************** . Astellas Institute for Regenerative Medicine (AIRM) is a wholly-owned subsidiary of Astellas Pharma Inc and focused on the development and commercialization of stem cell and regenerative medicine therapies. Astellas is an R&D-driven global pharmaceutical company whose philosophy is to contribute to the improvement of people's heath around the world through the provision of innovative and reliable pharmaceutical products. AIRM has a world-class R&D team, and is pursuing a diverse range of disease indications, ranging from macular degeneration (currently in clinical trials) and other ocular indications to vascular and autoimmune disease. AIRM's intellectual property portfolio includes pluripotent stem cell platforms -- both embryonic and induced pluripotent stem cells as well as other cell-based therapy research programs. AIRM is headquartered in Massachusetts. Astellas is announcing a **Principal Research Associate, Cytogenomics** opportunity at their Astellas Institute for Regenerative Medicine (AIRM) site in Westborough, MA. **Purpose:** This role fills the critical business need of ensuring compliant laboratory methods within the realm of stem cell therapy development, and biologic and gene therapy quality control, while also making significant scientific contributions and advancing laboratory compliance to improve consistency and efficient delivery of results. The position aims to advance the development of stem cell-based therapies, biologics, and gene therapies across multiple therapeutic areas. **Essential Job Responsibilities:** + **Method Development, Qualification and Validation:** Support the development, qualification, and validation of methods for the analysis of stem cell products, biologics, and gene therapies, ensuring adherence to GMP standards and regulatory requirements. + **Documentation Excellence:** Establish and maintain compliant documentation practices for all qualification and validation activities, emphasizing meticulous record-keeping and compliance with regulatory guidelines. + **Scientific Contributions:** Make significant scientific contributions to the development of stem cell-based therapies through innovative experimental design, data analysis, and interpretation. + **Quality Assurance:** Implement and maintain a flawless approach to Quality Assurance, including regular audits, process improvements, and adherence to industry best practices. + **NGS Expertise:** Apply expertise in next-generation sequencing (NGS) to characterize stem cell products and elucidate underlying molecular mechanisms. + **Collaborative Research:** Collaborate effectively with cross-functional teams to integrate genomic analyses into broader research initiatives and therapeutic development projects. + **Continuous Improvement:** Drive continuous improvement efforts in assay performance, data analysis workflows, and documentation practices to enhance efficiency, accuracy, and regulatory compliance. + **Training and Development:** Provide training and mentorship to junior team members on method development and validation, documentation practices, and Quality Assurance principles + **Regulatory Compliance:** Ensure all qualification and validation activities comply with relevant regulatory requirements, including FDA and EMA guidelines for cell therapy products **Qualifications** **Required:** + BS with 10+, MS with 6+ or PhD with 1-2 years of laboratory experience. + Highly skilled in chromosome brightfield and FISH processing, analysis, and reporting + Highly skilled in cytogenetic and molecular biology principles such as microarray and STR Profiling + Excellent documentation practices and attention to detail + Leadership and mentorship capabilities + Strong knowledge of Quality Assurance and regulatory principles + Ability to effectively participate in cross functional collaboration and demonstrate excellent verbal and written communication skills + Excellent work planning, organization, and record keeping + ASCP certification or equivalent **Preferred:** + Experience with dd PCR and NGS methods and technologies + Familiarity with non-conformance, OOS, CAPA, and change control in the TrackWise digital platform + Familiarity with Quality Assurance principles and regulatory guidelines for cell therapy products + Familiarity with qualification of laboratory equipment **Working Conditions** + This position is based in Westborough, MA and will require primarily on-site work in a laboratory working environment. **Salary Range** **:** $91,000 - $143,000 (Final compensation will be determined based on a variety of factors, including but not limited to skills, experience and organizational equity considerations) **Benefits** **:** + Medical, Dental and Vision Insurance + Generous Paid Time Off options, including Vacation and Sick time, plus national holidays including year-end shut down + 401(k) match and annual company contribution + Company paid life insurance + Annual Corporate Bonus and Quarterly Sales Incentive for eligible positions + Long Term Incentive Plan for eligible positions + Company fleet vehicle for eligible positions + Referral bonus program \#LI-TD Category Integrative Science Astellas is committed to equality of opportunity in all aspects of employment. EOE including Disability/Protected Veterans

Clinical Research Investigator (MD/DO) DM Clinical Research, the largest privately-owned research management organization in the Houston area and one of the top 50 in the country, is looking for an Investigator for our site in Boston, MA. This individual will conduct all clinical trials (studies) according to ICH, GCP, local regulations, study protocols, and company processes. Responsibilities Ensures the medical well-being and safety of the participants through the safe performance and execution of the studies. Assists in maintaining clinical oversight and quality on the studies registered on and delivers on study targets, thereby contributing to the commercial success of the site. Reviews enrollment progress, pre-screening and screening success rates, screen failure rates, safety, and retention of participants. Interprets protocols and IB and participates in initiatives to strategize for patient recruitment. Carries out clinical evaluation and assessment of participants to ensure eligibility to enroll in studies. Ensures and protects the welfare and safety of participants through ethical conduct. Fulfills and complies with all medical duties as per protocol, SOP/COP and ICH GCP and local regulations. Exercises meticulous attention to detail in documentation and patient care. Requirements Medical license (MD, DO) - Boston 2 years experience as a Clinical Research Investigator (Principal Investigator or Sub-Investigator) Bilingual Spanish a plus Flexible hours - schedule can be tailored as required.

Artech is the 10th Largest IT Staffing Company in the US, according to Staffing Industry Analysts' 2012 annual report. Artech provides technical expertise to fill gaps in clients' immediate skill-sets availability, deliver emerging technology skill-sets, refresh existing skill base, allow for flexibility in project planning and execution phases, and provide budgeting/financial flexibility by offering contingent labor as a variable cost. Job Description: • Possess a sound knowledge of the chemical principles and concepts of preparing buffers and tissue culture media and aseptic techniques . • Use established procedures (SOP's) and based on experience, training, and education, interpret complex methodologies (Protocols) provided by scientists. • Utilize good laboratory practices while applying technical expertise to formulate buffers and tissue culture solutions. • Independently perform work in a controlled laboratory environment. May assist others in completing their work. • Document all work utilizing Media Prep Worksheet • Maintain appropriate records pertaining to solution preparation in a fashion that allows for easy data retrieval. • Assist the team with the documentation such as records, reports and worksheets. • Assist with the shipping logistics of the buffer and media solutions. • Perform other applicable duties as deemed appropriate by lab supervisor / manager. Qualifications Additional Skills: 2+ years experience with laboratory operations in a hospital or pharmaceutical setting. Additional Information For more information, please contact Sneha Shrivastava ************

About Lux Lux Research is a leading research and advisory firm, helping clients navigate emerging technologies and drive growth through science-driven innovation. We sell to C-level executives in the world's largest companies. Our culture is high-energy, detail-obsessed and relentlessly focused on performance. If you thrive in a fast-paced, demanding environment where results, accountability and engagement matter, join our team for what may be the most rewarding job you have ever had. Role Description Lux Research is seeking a Research Associate specializing in Utilities to help define and advance our vision for the future of innovation in transmission and distribution networks for the power grid. The ideal candidate will possess a strong foundation in a STEM discipline related to utilities-such as electrical engineering, mathematics, power systems engineering, energy systems, or a related technical field-and a passion for applying scientific and technical expertise to strategic innovation questions. As a Research Associate at Lux, you will conduct and lead research that guides clients in understanding technological transformation within grid modernization including technologies enabling the power grid to carry more capacity with increased efficiency. You will develop thought leadership through writing analytical reports on emerging technologies and companies in the transmission and distribution system to deliver actionable insights which support investment, partnership, and strategy decisions for global electric utility leaders. Salary Range: $65,000 - $75,000 Responsibilities: · Lead research on emerging technologies shaping the utilities sector, including renewable integration, grid resilience, storage, electrification, and decarbonization technologies. · Develop and test research hypotheses, synthesize data from diverse sources, and produce findings that help clients navigate innovation opportunities. · Advise and support clients through written deliverables, direct consultations, and presentations, providing clear, evidence-based perspectives on technology and market trends. · Produce high-quality research reports and analyses that connect innovation in utilities to broader sustainability, regulatory, and consumer dynamics. · Represent Lux Research at industry conferences, webinars, and client events as a recognized thought leader in utilities and sustainable energy systems. · Collaborate with analysts across disciplines and geographic regions to deliver integrated insights on cross-sector innovation challenges, including digitalization, infrastructure modernization, and circular resource management. Requirements Minimum Qualifications: · Bachelor's degree in a STEM field related to utilities (e.g., electrical engineering, energy systems engineering, environmental science, applied physics, or related discipline). · 1-2 years of experience in the utilities, energy, or sustainability sectors, ideally involving technology analysis, R&D, or strategic consulting. · Demonstrated ability to analyze technical and market data, develop original insights, and communicate them effectively to business and technical audiences. · Exceptional writing and presentation skills, with experience crafting incisive, data-driven reports and delivering client presentations. · Strong quantitative and qualitative analytical skills, with the ability to translate complex scientific concepts into business implications. Desired Qualifications A Master's degree is highly preferred, especially with a STEM background in electrical engineering, energy systems, or related disciplines focusing on utilities processes. Intellectual curiosity and a deep interest in innovation, energy transition, and the future of utilities. Entrepreneurial and collaborative mindset, with a willingness to go the extra mile in a fast-paced environment. High degree of organization, attention to detail, and commitment to delivering high-quality research that drives impact. Lux Research is an Equal Opportunity Employer Lux Research is an equal opportunity employer. In accordance with anti-discrimination law, Lux prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Lux Research conforms to the spirit as well as to the letter of all applicable laws and regulations. law. Lux Research conforms to the spirit as well as to the letter of all applicable laws and regulations. Salary Description $65,000 - $75,000

At Bayer we're visionaries, driven to solve the world's toughest challenges and striving for a world where 'Health for all Hunger for none' is no longer a dream, but a real possibility. We're doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining 'impossible'. There are so many reasons to join us. If you're hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there's only one choice. Computational Biologist, Principal Scientist - CVRI The Computational Biologist is responsible for the evaluation of therapeutic hypotheses via integration and quantitative analyses of internal & external multi-omics data sources (DNA, RNA, proteomics, metabolomics, imaging, etc) for CardioVascular, renal and immunology Therapeutic Areas. Significant contributions to innovative research and development projects or collaborations, such as: identifying new targets with multi-omics evidence; assessing the link between targets and disease biology; proposing pharmacodynamic, efficacy or selection biomarkers; evaluating biomarker hypotheses from clinical trial specimens; assessing novel technologies; supporting therapeutic lifecycle management. Adopts and contributes to Best Practices for novel technologies, quantitative analyses, visualizations, and biological insight generation from multi-omics data sources. YOUR TASKS AND RESPONSIBILITIES The primary responsibilities of the Computational Biologist are to: * Evaluate and contextualize the molecular evidence supporting a therapeutic hypothesis with relevant internal and external multi-omics data (DNA, RNA, proteomics, metabolomics, imaging, etc); * Contribute to Project Team scientific strategy and prosecution of critical path objectives, such as the identification of novel targets, biomarkers, or patient selection hypotheses. These contributions use state-of-the art computational biology methods to analyze large and complex human data sets; * Deliver biological insights on therapeutic assets and disease biology understanding to Project Teams, who apply these insights towards stage-gate decisions, portfolio prioritization, and/or submissions to Health Authorities; * Educate Project Teams on innovations in disease understanding in the CardioVascular, renal and immunology Therapeutic Areas; * Develop, evaluate, implement, and apply Best Practices for the execution and validity of quantitative analyses, integration, visualizations, and interpretation of multi-omics data. Demonstrate a growth mindset towards updating Best Practices with the emergence of new experimental or computational technologies; * Build cross-functional relationships to collaboratively partner across Pharma R&D and effectively network within disease understanding and data science communities of experts. WHO YOU ARE Bayer seeks an incumbent who possesses the following: Required Qualifications: * PhD degree with post-graduation experience in Sciences (Bioinformatics, Computational Biology, Biology, Chemistry, Genetics, Computer Science, Informatics, or other related quantitative discipline) with very strong computational focus; * Demonstrated experience in statistical analysis of DNA-seq, RNA-seq, proteomics, single-cell, or imaging datasets with proficiency in a programming environment (such as R or Python); * Demonstrated hands-on experience in analysis of large scale proteomics, metabolomics datasets; * Demonstrated peer-reviewed publications in computational biology; * Expert level of proficiency to choose fit-for-purpose quantitative analyses; * Strong analytical thinking and scientific rigor; * Strong communication competencies to include presentations and delivery of complex quantitative analyses in a clear, concise, and actionable manner to broad audiences and key stakeholders across multiple functions or to external partners; * Learning agility, highly self-motivated, with an aspiration of continuous improvement of oneself and others; * Evidence of providing tactical and strategic guidance to the pharma portfolio or data science ecosystem; * Demonstrated ability to propose, catalyze, and implement the development of interdisciplinary, systematic solutions that create business value; * Capability to present even very complex issues clearly and convincingly to project teams or decision bodies. Good communication skills. Can manage a high degree of complexity; * Demonstrates advanced business acumen, people and project leadership competencies, and technical expertise. Preferred Qualifications: * 5+ years of post-graduation experience in Sciences (Bioinformatics, Computational Biology, Biology, Chemistry, Genetics, Computer Science, Informatics, or other related quantitative discipline) with very strong computational focus; * 3+ years industry experience in drug development or biotech role with clear understanding of applying multi-omics data analyses to advance a portfolio of drug discovery or clinical development projects. Employees can expect to be paid a salary between $124,864.80 - $187,297.20. Additional compensation may include a bonus or commission (if relevant). Additional benefits include healthcare, vision, dental, retirement, PTO, sick leave, etc. This salary range is merely an estimate and may vary based on an applicant's location, market data/ranges, skills, prior relevant experience, certain degrees and certifications, and other relevant factors. This posting will be available for application until at least 11/05/2025. YOUR APPLICATION Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Science for a better life, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer. To all recruitment agencies: Bayer does not accept unsolicited third party resumes. Bayer is an Equal Opportunity Employer/Disabled/Veterans Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below. Bayer is an E-Verify Employer. Location:United States : Massachusetts : Cambridge Division:Pharmaceuticals Reference Code:855418 Contact Us Email:hrop_*************

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world. The Diabetes, Obesity and Complications Therapeutic Area (DOCTA) of Eli Lilly and Company focuses on new therapeutic approaches for the treatment of diabetes, obesity and cardiometabolic diseases. Starting from an idea, we work with partners across Lilly to discover and develop novel biologic, small molecule and nucleic acid-based therapeutics. Our focus is the patient: by understanding the biology and pathophysiology underlying disease states, we aim to address the root cause of disease, and develop breakthrough therapies. We have one of the strongest pipelines in the industry and a track record of delivering impactful medicines that improve people's lives. Are you a computational scientist passionate about addressing some of the most pressing global health challenges of our time? Do you stay current with the latest advances in metabolic disease research and obesity pathophysiology? Are you eager to apply pioneering computational and statistical approaches to analyze multi-omics data and unravel the complex biology of obesity, adipose tissue function and metabolic dysregulation? The computational biology role within DOCTA is an exciting opportunity for a team-oriented scientist with deep expertise in obesity biology and computation methods to drive therapeutic discovery in metabolic diseases. In this hands-on role, you will work cross-functionally with researchers across DOCTA to design and implement multi-omic studies specifically focused on obesity pathophysiology, energy regulation, adipose tissue biology, metabolic pathway dysregulation and CNS pathways concerning obesity. You will collaborate closely with experimental project leads and scientific domain experts to drive scientific discovery through the comprehensive analysis of single-cell genomics data from preclinical models and human studies. In this role, you will not only apply established computational methods to understand obesity pathophysiology and identify novel therapeutic targets in metabolic pathways, but also pioneer the application of innovative AI/ML approaches to extract deeper biological insights from complex multi-modal datasets. The successful candidate will have the opportunity to directly impact the DOCTA pipeline, ultimately driving the scientific field forward and bringing innovative therapies to patients. Key Responsibilities: Design and complete studies using omics-related data sources, including RNA-seq, spatial transcriptomics, single-cell omics, proteomics, functional genomics, metabolomics, and more. Integrate standard analytical approaches as well as emerging AI/ML models to answer scientific questions of high-dimensional data Partner with discovery statistics team to create novel analytical frameworks for high-throughput studies and develop specialized methodologies to enhance insights from small-sample datasets. Stay up-to-date on current technical and scientific advances through deep understanding of the literature and attendance of relevant technical and disease-related conferences Clearly communicate complex results to cross-functional partners in a prompt and transparent manner Perform ad-hoc bioinformatics analyses and data visualizations as needed Work collaboratively with other Data Sciences and Computational Biology (DSCB) scientists to develop innovative, best in class computational workflows and data repositories for advanced analyses Engage in code and documentation review within the team and across other teams within the DSCB team Adhere to industry-standard protocols for scientific project documentation Basic Requirements: PhD or equivalent in Computational Biology, Bioinformatics, Biomedical Informatics, or related field with 2+ years of experience post-PhD in relevant disease area. Additional Skills/Preferences: Strong track record of execution of computational biology and/or bioinformatics-based projects, potentially including RNA-seq, metabolomics, multi-omics, human genetics, proteomics, AI/ML, and other related research modalities required Prior experience and deep expertise in obesity and related areas, preferably with data from preclinical models, patient cohorts or cell lines preferred Expertise in programming languages including R and Python and experience with workflow management systems such as Nextflow required Experience developing production-grade bioinformatics pipelines, including working with standardized workflow tools preferred Experience with implementation and maintenance of industry-standard documentation practices including Git, Confluence, JIRA, or equivalent preferred Ability to prioritize and manage multiple competing priorities within a fast-paced environment required The ability to communicate complex scientific and computational concepts to non-computational and non-scientist audiences required Ability to represent the DOCTA DSCB team internally and externally required Strongly team-oriented thinking mentality required Prior industry experience preferred Experience with scalable cloud computing platforms (e.g. Databricks, AWS) and big data analytics frameworks preferred Experience with containerized technologies (e.g. Docker) for computational reproducibility preferred Knowledge of human genetics preferred Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (******************************************************** for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women's Initiative for Leading at Lilly (WILL), en Able (for people with disabilities). Learn more about all of our groups. Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is $138,000 - $224,400 Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees. #WeAreLilly

The **Center for Cancer Genomics** **(CCG)** at Dana-Farber Cancer Institute facilitates genomic discoveries in cancer using novel technology platforms to assist researchers in both genome-wide and gene-focused efforts. Technologies are selected and developed with a view to research-oriented ventures, as well as translational medicine and clinical relevance. Our clinical and research environments currently use state-of-the-art massively parallel sequencing assays of DNA and RNA from patient tumor samples. Data from these environments are used to advance research on both adult and pediatric cancers, improve our understanding of cancer biology, and advance the field of precision cancer medicine. This opportunity offers the chance to work at the forefront of translational cancer technologies and applications, in an informatics group that enables analyses in both arenas. Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. The **Bioinformatician II** will report to CCG's Lead Informaticist and have the main responsibility of independently performing data analysis on a wide array of cancer multiomics projects ( _sc/sn RNAseq, sc ATACseq, Crispr screens, SNV/CNV, longread Oxford Nanopore Direct RNA sequencing,_ etc.) in consultation and collaboration with internal Dana-Farber research collaborators and external research partners. Some limited orchestration of automated pipelines may be required as necessary. The Bioinformatician II will have no direct reports. Dana-Farber has a wealth of local, on-premises, and cloud-based computing resources available to extensively explore the large body of data generated annually by Dana-Farber researchers and collaborators. Given these resources, the development of novel computational methods is strongly encouraged. **MINIMUM JOB QUALIFICATIONS:** Minimum Education: Bachelor's degree required in a STEM field. Master's degree or PhD strongly preferred in bioinformatics, medical informatics, computational biology, statistics, computer science/engineering, or a related quantitative field. Minimum Education: 3 Years of experience required; Master's degree with 1 year experience required; PhD with 0 years. + Experience with bioinformatics tools and databases for sequence alignment/analysis; germline and somatic variant calling; bulk and single-cell/nuclei RNAseq; long read sequencing (Oxford Nanopore). + Proficiency in programming languages commonly used in bioinformatics and data analysis, such as Python, R, and Perl. Experience with workflow languages such as WDL or Nextflow is a plus. + Excellent communication skills and ability to work collaboratively in multi-disciplinary team. **Pay Transparency Statement** The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate's relevant experience, skills and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA) $83,800 - $90,800 At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are equally committed to diversifying our faculty and staff. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. **EEOC Poster**

About Somite Somite.ai is a venture-backed company aiming to become the OpenAI of stem cell biology, developing AI foundation models for human stem cells to drive novel cell therapies at scale. We take a full-stack approach - generating data at 1,000x lower cost, training large-scale models with unmatched predictive power, and using these models to discover, refine, and optimize high-impact applications in cell therapy. Our founding team includes repeat AI entrepreneur Dr. Micha Breakstone (Chorus.ai, acquired for $575M), the Head of the Fundamental AI Group at MIT (pioneered the foundational research on scaling laws), and three Harvard Medical School professors and National Academy of Sciences/Medicine members, including the Chair of the Genetics Department at HMS. Based in Boston and launching operations in January 2024, Somite has raised close to $60M to date (Forbes). Somite's Core Values: We show up - fully accountable, all-in, doing whatever it takes We act with urgency - swift, decisive, proactive We support one another - collaborative, helpful, empathetic Location: Boston, MA (onsite, full-time) About the Role: As a Senior Computational Biologist, you will play a key role in creating pipelines, models and performing research over large scale single cell datasets. This role is ideal for someone who is passionate about large-scale transcriptomic data that will be used to create groundbreaking cell replacement technologies. You will work at the intersection of developmental biological research, data science, and software development, contributing to single-cell and spatial transcriptomics analysis, translating scientific discoveries into cutting edge cell replacement therapies. Responsibilities: Drive new research directions at the interface of bioinformatics and AI-powered stem cell biology Develop and optimize computational biology pipelines for preprocessing, analysis, modeling and interpretation of high-dimensional transcriptomic data Stay at the forefront of computational biology, keeping up with state-of-the-art techniques in developmental biology, single-cell multi-modal analysis and spatial transcriptomics Operate autonomously in a fast-moving startup, helping shape Somite's computational biology roadmap Mentor and provide technical guidance to team members, fostering collaboration and knowledge sharing across disciplines Collaborate closely with other computational biologists, machine learning researchers, and software engineers to build robust, scalable solutions Qualifications: PhD in Computational Biology, Bioinformatics, Computer Science, or a related field 3+ years of experience analyzing large-scale genomic and transcriptomic datasets, such as single cell RNA-seq and spatial omics Solid computational and statistical skills, with demonstrated experience in high-dimensional biological data analysis Strong programming skills and experience developing robust products, preferably in Python Passion for data-driven biology and its potential to transform healthcare Preferred Qualifications: Strong domain knowledge in developmental biology or stem cell research (highly advantageous) 2+ years of experience in non-academic industry setting Prior experience in a startup or fast-paced environment Experience in machine learning, and and developing models over biological data Strong publication record in top journals Benefits: Take a technical leadership role with a mission-driven company with the potential to significantly impact the lives of millions Work alongside a talented and passionate team at the forefront of AI and cellular biology Contribute to the development of groundbreaking therapies that address significant unmet medical needs Enjoy a competitive salary and benefits package, including flexible work options Exceptional candidates who demonstrate outstanding capabilities and potential will be considered, even if they do not meet every qualification listed. Join us and help unlock the full potential of AI for the benefit of human health! Somite is committed to equal employment opportunity and non-discrimination for all employees and applicants regardless of race, color, ancestry, sex, sexual orientation, age, religion, national origin, ancestry, genetic information, disability, veteran status, marital status, citizenship status, or any characteristic protected under applicable law.

Job Description: Senior Computational Biologist Department: Data Science, PIRC Reports to: Director of AI in Drug Development We are seeking a highly motivated and skilled Senior Computational Biologist to join our dynamic data science team. This individual will apply advanced OMICS-oriented analytical methods, statistical modeling, and ML/AI to accelerate discovery and decision-making in support of PIRC's expanding research programs. The ideal candidate will leverage their deep expertise in computational biology, deep learning, and data-driven drug discovery to develop state-of-art solutions. This role involves close, cross-functional collaboration with Immunology, Translational Science, and Biologics teams to build sophisticated algorithms and predictive models that drive our pipeline. The Company: It's not often you get the chance to make a real impact on the lives of others, while expanding your own possibilities. You'll find that rare opportunity at PharmaEssentia. Join us, and let's transform lives, together. PharmaEssentia Corporation is a rapidly growing biopharmaceutical innovator. We are leveraging deep expertise and proven scientific principles to deliver effective new biologics for challenging diseases in the areas of hematology and oncology, with one approved product and a diversifying pipeline. We believe in the potential to improve both health and quality of life for patients with limited options today through the combination of rigorous research and innovative thinking. Founded in 2003 by a team of Taiwanese-American executives and renowned scientists from U.S. biotechnology and pharmaceutical companies, today we are listed on the Taipei Exchange (TPEx: 6446) and are expanding our global presence with operations in the U.S., Japan, China and Korea, along with a world-class biologics production facility in Taichung. This role will be in the PharmaEssentia Innovation Research Center (PIRC), the US R&D center for PharmaEssentia. As PIRC is essentially in startup mode with the full backing of PharmaEssentia HQ, this is an exciting time for PIRC and the Data Scientist will have great influence in developing and growing PIRC from the ground floor up. Key Responsibilities Lead multi-omics data analysis across diverse datasets, including genomics, bulk and single-cell transcriptomics, proteomics, metabolomics and pathway analysis, to address critical questions in target identification, prioritization, and translational science Design and implement novel computational modules and frameworks to enable seamless integration and interpretation of multi-omics data, driving insights for R&D Develop and apply machine learning and AI algorithms to uncover patterns and generate predictions from complex biological datasets, and accelerate target discovery and validation efforts Enhance internal cross-disciplinary collaboration with project teams to align computational strategies with project goals and ensure robust biological interpretation of data Establish best practices for data management, quality control, and reproducibility in bioinformatics pipelines, and create intuitive visualizations and detail-oriented reports to communicate findings with stakeholders, enabling data-driven decision-making Continuously evaluate and adopt cutting-edge computational tools, algorithms and technologies to stay at the forefront of the field and enhance data analysis capabilities Contribute to the strategic planning of computational/AI initiatives, influencing the direction of research programs and technological investments Contribute to scientific publications, conference presentations, showcasing advancements in bioinformatics and AI, and their impact on drug discovery and translational research Qualifications Ph.D. in Bioinformatics, Computational Biology, Computer Science or relevant quantitative discipline At least 3-years work experience in combining bioinformatics/computational biology analysis and cutting-edge computational approaches (including ML/AI) for project support in cross-functional biotech or pharma setting. Expertise in multi-omics data analysis and result interpretation (genomics, transcriptomics and sc RNASeq are must, spatial omics and image are plus) Proficiency in Python and R, familiarity with database management A strong understanding of the drug discovery and development, including target identification, lead optimization, translational research, and early clinical development Experience in a therapeutic area relevant to oncology and immunology Working knowledge of traditional machine learning algorithms, Deep learning frameworks and LLM, and their applications in drug discovery EEO Statement: At PharmaEssentia Innovation Research Center (PIRC), we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, pregnancy (including childbirth and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. PIRC believes that diversity and inclusion among our team are critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. PIRC does not accept unsolicited agency resumes. Staffing agencies should not send resumes to our HR team or to any PIRC employees. PIRC is not responsible for any fees related to unsolicited resumes from staffing agencies. At PharmaEssentia, our goal is to treat as many people with cancer as possible. That means challenging the status quo with better science that leads to better lives. By joining our team, you will not only expand your own possibilities, but you will contribute to expanding options for people with cancer. ************************************** Powered by JazzHR Qxw3iqJodz

The Matern Lab at Merrimack College is seeking a highly motivated and detail-oriented Post-Baccalaureate Research Associate to support research on inner ear sensory cell biology using organoid models. The successful candidate will work closely with Dr. Maggie Matern and members of a collaborative research team to generate and analyze stem cell-derived inner ear organoids, with the goal of uncovering the molecular mechanisms that drive sensory cell development. For more information on Dr. Matern & the Matern Lab, please see MaternLab.com. This role will also support Merrimack College's Shared Instrumentation and Research Facility (SIRF) and Biosafety Level 2 (BSL-2) Lab, assisting with the use and upkeep of advanced instrumentation for molecular biology research, and may be asked to provide laboratory instructional time if needed. Primary Responsibilities: Perform stem cell culture and assist in generating inner ear organoid models. Carry out molecular biology techniques, including PCR, cloning, and immunostaining. Support tissue sectioning, imaging, and data collection for experiments. Maintain accurate and organized laboratory records. Assist with general lab upkeep, ordering supplies, and equipment maintenance. Support the Shared Instrumentation and Research Facility (SIRF) by helping with the use and upkeep of advanced imaging and molecular biology equipment. Collaborate with lab members to ensure smooth execution of experiments and share technical expertise. Qualifications: Bachelor's degree in biology, neuroscience, biochemistry, biomedical engineering, or a related field (or equivalent laboratory experience). Prior hands-on experience with cell culture is strongly preferred. Familiarity with molecular biology methods (e.g., PCR, gel electrophoresis, immunostaining). Strong organizational skills and attention to detail. Ability to work both independently and as part of a collaborative team. Excellent communication and record-keeping skills. Willingness to learn new laboratory techniques and support shared facility operations. Application Materials Should Include: Cover letter (describing your motivation and interest in the position, highlighting relevant experience, and reflecting on how your values align with Merrimack College's mission and community) CV/Resume Names and contact information for three (3) professional references. This position is subject to the successful completion of a criminal background check. Statement on Our Mission Merrimack College is a Catholic Augustinian institution of higher education committed to building an accepting and respectful community. Our mission is to enlighten minds, engage hearts and empower lives and is inspired by our Catholic faith and the Augustinian tradition of seeking truth through inquiry and dialogue. Merrimack College seeks candidates who understand, respect, and can contribute to Merrimack's Catholic and Augustinian mission. All candidates should describe in their application how they will foster a culture that supports our mission. About Merrimack College The only Catholic, Augustinian institution of higher education in New England, Merrimack College is a private, independent, coeducational institution with more than 4,100 undergraduate, 2,500 graduate students and 50 doctoral students from 48 states and 63 countries. The College features more than 160 career-focused undergraduate, professional and graduate programs, all taught by exceptional faculty who are passionate about their subject and student success. The College has six schools: arts and sciences, engineering and computational sciences, nursing and health sciences, education and social policy, the Girard school of business and the graduate school of counseling and social work. The College's suburban 220-acre campus is just north of Boston in North Andover, Massachusetts. Merrimack is a Master's Colleges and Universities/Larger Programs (M1) institution in the Carnegie Classification of Institutions of Higher Education. Merrimack is one of the fastest growing educational institutions in the country and has steadily climbed up in the U.S. News & World Report's ranking of Best Colleges, ranking 38th in the Regional Universities North category in 2026. Merrimack is a NCAA Division I athletic institution. Merrimack College is an Equal Opportunity Employer.

About the Opportunity The Bioinformatician will report to Ayan Paul, Research Scientist at EAI, and collaborate with Scientists and Clinicians from Peter Castaldi's group at the Harvard Medical School, John Platig's Network Biology group at the University of Virginia, and Jennifer Dy's group at ECE, Northeastern University. Responsibilities will include building an ETL pipeline for ENCODE genomics data, writing Python code for data analysis, and a downstream R pipeline for post-processing data using standard Bioinformatics libraries from Bioconductor. There will be opportunities to participate in building machine learning models, co-author publications, and contribute to grant proposals. Tentative start date: January 2024 for the Spring 2024 semester with possibilities of renewal. This work will contribute towards the understanding of genetic origins of complex diseases like Chronic Obstructive Pulmonary Disease and cutting-edge machine learning-based methodologies for regulation of mRNA splicing. RESPONSIBILITIES INCLUDE: Building ETL pipelines for genomics/transcriptomics data from public databases and processing them with publicly available codes in python and R. Documenting the entire process and all the codes generated and maintaining structured and regular commits in a GitHub repository. Helped implement machine learning models and automate the processing of input data. Write reports/prepare slide decks describing work performed. Contribute to scientific manuscripts and grant proposals where appropriate. MINIMUM QUALIFICATIONS: A Master's degree (or equivalent) A minimum of 3-4 years of experience working with data pipelines and data analysis. Proficiency in Python and R. Experience working in Unix OS and remote computing clusters. Have demonstrable expertise in bioinformatics, especially genomics, transcriptomics, proteomics and/or metabolomics, and have a good grasp of statistics. Experience working with genomics databases like ENCODE and familiarity with RNA-seq, eCLIP, and other data is highly desirable but not required. An ability to write clean and well-documented code and work with GitHub repositories. Position Type Temporary Additional Information Northeastern University considers factors such as candidate work experience, education and skills when extending an offer. Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit ************************************* for more information. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law. Pay Rate: $45/hour

Artech is the 10th Largest IT Staffing Company in the US, according to Staffing Industry Analysts' 2012 annual report. Artech provides technical expertise to fill gaps in clients' immediate skill-sets availability, deliver emerging technology skill-sets, refresh existing skill base, allow for flexibility in project planning and execution phases, and provide budgeting/financial flexibility by offering contingent labor as a variable cost. Job Description • The Research Associate/Senior Research Associate will execute ongoing process development activities for the clinical manufacturing of gene therapy products in compliance with all current regulatory and corporate quality guidelines. • This individual collaborates with all supporting groups and departments to ensure technical and operational requirements are established and maintained in order to meet all relevant company, site and departmental development goals. Job Responsibilities: • Carry out experiments supporting the generation of a purification strategy for the production of viral gene therapy vectors. The individual will analyze/interpret results and may recommend additional experiments that expand process knowledge and improve process performance. • Participate in process scale-up activities, including execution of manufacturing scale runs; may act as a subject matter expert supporting the transfer of process technology to both internal and external clinical manufacturing groups. • Author protocols, technical reports, data analysis summaries, and SOP's. • Use scientific principles and experiential knowledge to solve complex problems in creative and practical ways. • Apply state-of-the art principles and theories in area of responsibility to develop processes and advance programs. Evaluate new technologies and make recommendations for their implementation in Gene Therapy process development. • Adheres to and supports all safety programs by ensuring personnel safety training is completed and safety equipment is available Qualifications Basic Qualifications: Minimum 3 years of relevant experience in the purification of biologics. Must have demonstrated skills and working knowledge of the unit operations associated with biologics manufacturing - column chromatography (operation of manual and automated chromatography systems), TFF, depth filtration). Preferred Qualifications: Ability to operate in a dynamic, fast-paced, safety conscious, multi-product development and manufacturing environment with shifting priorities. Strong commitment to accountability for self and departmental staff for completion of objectives in accordance with established plans. Education: Research Associate: Bachelor s degree and 2 or more years. Master s and 0-2 years; Senior Research Associate: Bachelor s degree and 5 or more years. Master s and 3 or more years Additional Information Anuj Mehta Technical Recruiter (Clinical/Scientific) Artech Information Systems LLC 360 Mt. Kemble Avenue, Suite 2000 | Morristown, NJ 07960 Office: ************

Do you want to be part of an inclusive team that works to develop innovative therapies for patients? Every day, we are driven to develop and deliver innovative and effective new medicines to patients and physicians. If you want to be part of this exciting work, you belong at Astellas! Astellas Pharma Inc. is a pharmaceutical company conducting business in more than 70 countries around the world. We are committed to turning innovative science into medical solutions that bring value and hope to patients and their families. Keeping our focus on addressing unmet medical needs and conducting our business with ethics and integrity enables us to improve the health of people throughout the world. For more information on Astellas, please visit our website at ***************** Astellas Institute for Regenerative Medicine (AIRM) is a wholly-owned subsidiary of Astellas Pharma Inc and focused on the development and commercialization of stem cell and regenerative medicine therapies. Astellas is an R&D-driven global pharmaceutical company whose philosophy is to contribute to the improvement of people's heath around the world through the provision of innovative and reliable pharmaceutical products. AIRM has a world-class R&D team, and is pursuing a diverse range of disease indications, ranging from macular degeneration (currently in clinical trials) and other ocular indications to vascular and autoimmune disease. AIRM's intellectual property portfolio includes pluripotent stem cell platforms -- both embryonic and induced pluripotent stem cells as well as other cell-based therapy research programs. AIRM is headquartered in Massachusetts. Astellas is announcing a Principal Research Associate, Cytogenomics opportunity at their Astellas Institute for Regenerative Medicine (AIRM) site in Westborough, MA. Purpose: This role fills the critical business need of ensuring compliant laboratory methods within the realm of stem cell therapy development, and biologic and gene therapy quality control, while also making significant scientific contributions and advancing laboratory compliance to improve consistency and efficient delivery of results. The position aims to advance the development of stem cell-based therapies, biologics, and gene therapies across multiple therapeutic areas. Essential Job Responsibilities: Method Development, Qualification and Validation: Support the development, qualification, and validation of methods for the analysis of stem cell products, biologics, and gene therapies, ensuring adherence to GMP standards and regulatory requirements. Documentation Excellence: Establish and maintain compliant documentation practices for all qualification and validation activities, emphasizing meticulous record-keeping and compliance with regulatory guidelines. Scientific Contributions: Make significant scientific contributions to the development of stem cell-based therapies through innovative experimental design, data analysis, and interpretation. Quality Assurance: Implement and maintain a flawless approach to Quality Assurance, including regular audits, process improvements, and adherence to industry best practices. NGS Expertise: Apply expertise in next-generation sequencing (NGS) to characterize stem cell products and elucidate underlying molecular mechanisms. Collaborative Research: Collaborate effectively with cross-functional teams to integrate genomic analyses into broader research initiatives and therapeutic development projects. Continuous Improvement: Drive continuous improvement efforts in assay performance, data analysis workflows, and documentation practices to enhance efficiency, accuracy, and regulatory compliance. Training and Development: Provide training and mentorship to junior team members on method development and validation, documentation practices, and Quality Assurance principles Regulatory Compliance: Ensure all qualification and validation activities comply with relevant regulatory requirements, including FDA and EMA guidelines for cell therapy products

The laboratory of Zuzana Tothova, MD, PhD is a multi-disciplinary team of physician scientists, scientists and computational biologists at the Dana-Farber Cancer Institute and the Broad Institute. Our laboratory uses genomics and a range of molecular and cellular biological techniques to elucidate the molecular basis of cancer and hematologic disorders and to develop novel therapeutics. Our specific focus is to understand the role of chromatin modifiers and epigenetic factors and find novel therapeutic opportunities in myeloid malignancies, including myelodysplastic syndromes and acute myeloid leukemia. JOB TITLE: Associate computational biologist FLSA: Full-time, on-site REPORTS TO: Zuzana Tothova, M.D., Ph.D. DEPT: Medicine Oncology/ Heme Neoplasia **General Summary** A full-time associate computational biologist position is available in the laboratory of Zuzana Tothova, M.D., Ph.D. at Dana-Farber Cancer Institute. We are seeking enthusiastic, self-motivated individuals who thrive in a fast-paced, challenging research environment, and can interact well with others as part of a cohesive team. If you have a desire to make a significant impact in healthcare and have the fortitude to work hard, you will succeed within this team. This is an ideal entry-level or mid-level position into the world of cutting-edge laboratory research. A growth mindset and a willingness to take on challenging learning opportunities will be sought out traits. Ideal candidates will possess strong interpersonal skills along with a desire to help others to succeed. Previous team members have gone on to successful academic and career opportunities; graduate/medical school and industry. The candidate will be involved in a series of research activities, including computational analysis of large-scale data sets generated in in vitro and in vivo human disease relevant models and use of next generation sequencing with a special emphasis on understanding the biology of human myeloid malignancies. The Associate Computational Biologist is training to become a Computational Biologist. They are responsible for routine data analysis or processing of biological data, with a focus on high-throughput technologies and genomic databases, under the supervision of mentor. The Computational Biologist is a quantitative scientist who collaborates with scientific investigators and with other research staff in the analysis of high-throughput data, and dissemination of scientific results. The Computational Biologist may work on many types of projects and areas of research including cancer genomics, functional genomics, immuno-oncology, molecular imaging, data management and integration, and querying biological databases. **We are looking for candidates with at least 2 years of availability.** Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. **PRIMARY DUTIES AND RESPONSIBILITIES:** 1. Data Processing Builds data processing pipelines to convert raw data into formats compatible with conventional statistical analysis and visualization under supervision of mentor. 2. Data Analysis: Follows a detailed manual to perform routine. 3. Data and Software Management: Monitors, downloads, organizes, and manages data from public data repositories or generated by collaborates. 4. Manuscript Preparation: Helps prepare tables and figures. 5. Research Portfolio Management: Trains to develops timelines and components for multiple routine projects; masters multi-tasking so that complex projects involving many interdisciplinary individuals move forward smoothly. 6. Works closely with postdoctoral fellows and graduate students in the lab and computational biology collaborators at the Dana-Farber Cancer Institute and the Broad Institute to analyze biological data sets, including but not limited to DNA and RNA sequencing, gene expression and transcriptome analysis, chromatin landscape profiling, and analysis of microscopy/imaging data. 7. Modifies and maintains existing data-processing pipelines in the lab, and develops new pipelines and tools to analyze novel forms of data, including data cleaning, normalization, and visualization. 8. Integrates multiple data sets to answer targeted scientific questions. 9. Documents and compiles findings in oral and written reports. 10. Attends team meetings to share results, plan projects and experiments. 11. Maintains and improves technical knowledge base. 12. Other related tasks as required. **KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:** + Computational Skills: Knowledge of UNIX/Linux. Proficiency with scripting in Python and statistical programming using R. + Data analysis Skills: Familiarity with principles of experimental design and the modern data analysis paradigms is required. + Collaboration: Able to discuss and present results, share ideas accurately and communicate them effectively, both in writing and verbally with supervisory oversight. **MINIMUM JOB QUALIFICATIONS:** Minimum Education: Bachelor's degree in a computer science or related-STEM field required. Minimum Experience: No prior experience required. **KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:** + Computational Skills: Knowledge of UNIX/Linux. Proficiency with scripting in Python and statistical programming using R. + Data analysis Skills: Familiarity with principles of experimental design and the modern data analysis paradigms is required. + Collaboration: Able to discuss and present results, share ideas accurately and communicate them effectively, both in writing and verbally with supervisory oversight. + Strong interpersonal skills - ability to effectively interact with all levels of staff and external contacts. + Excellent analytical, organizational and time management skills. + Familiarity with bioinformatics data types and software preferred + Familiarity with GitHub and HPC preferred + Passion for science and strong motivation required. + Must be a strong team player. + Strong interpersonal, communication and organizational skills, including the ability to handle a variety of tasks in a fast-paced environment, positive attitude and attention to detail, as well as ability to think on one's feet are required. + Must possess a high level of initiative, curiosity and dedication, proactivity in identifying problems and solutions to address them. + Familiarity with bioinformatics data types (e.g. FastQ, BAM, BigWig) and software (e.g. DeepTools, MACS, HOMER) preferred. + Familiarity working with Git repositories preferred. + Familiarity with computational methods for single-cell sequencing data preferred. **Pay Transparency Statement** The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate's relevant experience, skills and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA) $60,000 - $67,466 At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are equally committed to diversifying our faculty and staff. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. **EEOC Poster**

The Matern Lab at Merrimack College is seeking a highly motivated and detail-oriented Post-Baccalaureate Research Associate to support research on inner ear sensory cell biology using organoid models. The successful candidate will work closely with Dr. Maggie Matern and members of a collaborative research team to generate and analyze stem cell-derived inner ear organoids, with the goal of uncovering the molecular mechanisms that drive sensory cell development. For more information on Dr. Matern & the Matern Lab, please see MaternLab.com. This role will also support Merrimack College's Shared Instrumentation and Research Facility (SIRF) and Biosafety Level 2 (BSL-2) Lab, assisting with the use and upkeep of advanced instrumentation for molecular biology research, and may be asked to provide laboratory instructional time if needed. Primary Responsibilities: Perform stem cell culture and assist in generating inner ear organoid models. Carry out molecular biology techniques, including PCR, cloning, and immunostaining. Support tissue sectioning, imaging, and data collection for experiments. Maintain accurate and organized laboratory records. Assist with general lab upkeep, ordering supplies, and equipment maintenance. Support the Shared Instrumentation and Research Facility (SIRF) by helping with the use and upkeep of advanced imaging and molecular biology equipment. Collaborate with lab members to ensure smooth execution of experiments and share technical expertise. Qualifications: Bachelor's degree in biology, neuroscience, biochemistry, biomedical engineering, or a related field (or equivalent laboratory experience). Prior hands-on experience with cell culture is strongly preferred. Familiarity with molecular biology methods (e.g., PCR, gel electrophoresis, immunostaining). Strong organizational skills and attention to detail. Ability to work both independently and as part of a collaborative team. Excellent communication and record-keeping skills. Willingness to learn new laboratory techniques and support shared facility operations. Application Materials Should Include: Cover letter (describing your motivation and interest in the position, highlighting relevant experience, and reflecting on how your values align with Merrimack College's mission and community) CV/Resume Names and contact information for three (3) professional references. This position is subject to the successful completion of a criminal background check. Statement on Our Mission Merrimack College is a Catholic Augustinian institution of higher education committed to building an accepting and respectful community. Our mission is to enlighten minds, engage hearts and empower lives and is inspired by our Catholic faith and the Augustinian tradition of seeking truth through inquiry and dialogue. Merrimack College seeks candidates who understand, respect, and can contribute to Merrimack's Catholic and Augustinian mission. All candidates should describe in their application how they will foster a culture that supports our mission. About Merrimack College The only Catholic, Augustinian institution of higher education in New England, Merrimack College is a private, independent, coeducational institution with more than 4,100 undergraduate, 2,500 graduate students and 50 doctoral students from 48 states and 63 countries. The College features more than 160 career-focused undergraduate, professional and graduate programs, all taught by exceptional faculty who are passionate about their subject and student success. The College has six schools: arts and sciences, engineering and computational sciences, nursing and health sciences, education and social policy, the Girard school of business and the graduate school of counseling and social work. The College's suburban 220-acre campus is just north of Boston in North Andover, Massachusetts. Merrimack is a Master's Colleges and Universities/Larger Programs (M1) institution in the Carnegie Classification of Institutions of Higher Education. Merrimack is one of the fastest growing educational institutions in the country and has steadily climbed up in the U.S. News & World Report's ranking of Best Colleges, ranking 38th in the Regional Universities North category in 2026. Merrimack is a NCAA Division I athletic institution. Merrimack College is an Equal Opportunity Employer.

A computationally-oriented team led by Rameen Beroukhim and Simona Dalin at the Dana-Farber Cancer Institute and Broad Institute seeks an associate computational biologist to join in efforts to develop and apply cutting-edge genomic algorithms and analyses to characterize genomic rearrangements in cancers and normal tissues, and better understand how errors in double strand break (DSB) repair result in these rearrangements. This individual will contribute to a lively team and wider community of laboratory scientists, computational biologists, cancer geneticists, and software engineers dedicated to discovering and understanding the alterations in the cancer genome and discovering cancer vulnerabilities that could lead to new therapeutics. We are looking for a person who wants to lead their projects, think independently and make original intellectual contributions. We welcome all levels of input from our ACBs, including input on the conduct of analyses but also on new analyses to conduct and new questions to ask. ACBs in our laboratory regularly present their own work and contribute to the writing of papers and grant applications. We view an ACB as a mentored training position, with a primary goal being their professional development. Our prior ACBs have successfully pursued a variety of subsequent career directions including obtaining MDs, PhDs, and MD-PhDs on the paths to careers in both academia and industry. The ideal candidate will have extensive programming ability and a strong background in mathematics and statistics with a deep interest and background in biology. The candidate is required to have a B.S./B.A. or equivalent, ideally in the life sciences, physical sciences, or computational sciences; prior research in one of these areas (for example, a summer research program or several hours a week in a lab as an undergraduate); a strong background in programming, preferably in R and BASH; knowledge of statistical methods either through coursework or research; and excellent written & verbal communication skills. They must be a self-starter with excellent problem-solving, organizational and people skills and be able to collaborate closely with other members of a research team. We prefer the candidate to have exposure to an analytic field such as bioinformatics, computational biology, machine learning, or statistics and experience working in cloud computing and UNIX environments. A minimum 2 year commitment is required. Ideally we are looking for someone to join our lab before March 2026 but we are also considering applicants who will complete their current degree program in Spring 2026. Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. + Data Processing Builds data processing pipelines to convert raw data into formats compatible with conventional statistical analysis and visualization under supervision of mentor. + Data Analysis: Follows a detailed manual to perform routine. + Data and Software Management: Monitors, downloads, organizes, and manages data from public data repositories or generated by collaborates. + Manuscript Preparation: Helps prepare tables and figures. + Research Portfolio Management: Trains to develops timelines and components for multiple routine projects; masters multi-tasking so that complex projects involving many interdisciplinary individuals move forward smoothly. **MINIMUM JOB QUALIFICATIONS:** Minimum Education: Bachelor's degree required in a STEM field required. Minimum Experience: No prior experience required **.** **KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:** + Computational Skills: Knowledge of UNIX/Linux. Familiarity with scripting in Python and statistical programming using R. + Data analysis Skills: Familiarity with principles of experimental design and the modern data analysis paradigms is required. + Collaboration: Able to discuss and present results, share ideas accurately and communicate them effectively, both in writing and verbally with supervisory oversight. + Strong interpersonal skills - ability to effectively interact with all levels of staff and external contacts. + Excellent analytical, organizational and time management skills. **Pay Transparency Statement** The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate's relevant experience, skills and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA) $60,000 - $67,466 At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are equally committed to diversifying our faculty and staff. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. **EEOC Poster**