Postdoctoral scholar jobs in Waltham, MA

Data and Evaluation Applied AI Scientist (Battery Informatics and Scientific AI Systems) $180k - $310k A fast growing energy technology company is expanding its AI research division and is looking for a Data and Evaluation Applied AI Scientist. The team builds advanced AI systems to accelerate discovery in energy storage and next generation battery materials. This role focuses on data correctness, scientific reasoning quality, and the integrity of battery domain knowledge used to train LLMs and multi agent scientific frameworks. The company combines material science and applied AI to develop high energy Li Metal and Li ion battery technologies. Their platform uses AI enhanced discovery to design electrolytes, model electrochemical behavior, and develop new materials with real world applications across transportation, robotics, aerospace, and long duration energy storage. What You Will Do • Translate complex battery materials knowledge into structured, high quality, AI trainable datasets • Lead rigorous data validation, cleaning, and annotation processes to ensure scientific correctness • Create benchmark datasets and design multimodal evaluation suites for model testing • Partner with AI architecture teams to assess and refine model reasoning across chemistry, materials, and electrochemical concepts • Apply techniques that improve correctness and alignment, including methods inspired by human feedback systems • Ensure that AI models demonstrate accurate understanding of molecular behavior, materials interactions, and battery domain logic • Drive the application of battery informatics principles across data pipelines and model development What You Bring • PhD in Chemical Engineering with a focus on lithium battery systems or in Materials Science or a closely related computational field • Deep domain expertise in battery materials and electrochemical systems • Strong experience converting scientific data into AI trainable structures • Practical experience with data validation, annotation, and benchmark dataset creation • Exposure to LLM pipelines, AI evaluation, or multi agent scientific workflows • Background in an applied science or AI for materials role Preferred Experience • Hands on experience with RLHF or other model tuning and alignment techniques • Work history in battery labs, materials informatics teams, or AI4Science groups • Experience designing domain specific evaluation frameworks for complex AI systems • Experience as a computational battery AI specialist

About Us: SES AI Corp. (NYSE: SES) is dedicated to accelerating the world's energy transition through groundbreaking material discovery and advanced battery management. We are at the forefront of revolutionizing battery creation, pioneering the integration of cutting-edge machine learning into our research and development. Our AI-enhanced, high-energy-density and high-power-density Li-Metal and Li-ion batteries are unique; they are the first in the world to utilize electrolyte materials discovered by AI. This powerful combination of "AI for science" and material engineering enables batteries that can be used across various applications, including transportation (land and air), energy storage, robotics, and drones. To learn more about us, please visit: ********** What We Offer: * A highly competitive salary and robust benefits package, including comprehensive health coverage and an attractive equity/stock options program within our NYSE-listed company. * The opportunity to contribute directly to a meaningful scientific project-accelerating the global energy transition-with a clear and broad public impact. * Work in a dynamic, collaborative, and innovative environment at the intersection of AI and material science, driving the next generation of battery technology. * Significant opportunities for professional growth and career development as you work alongside leading experts in AI, R&D, and engineering. * Access to state-of-the-art facilities and proprietary technologies are used to discover and deploy AI-enhanced battery solutions. What we Need: The SES AI Prometheus team (AI Research) is seeking an exceptional Machine Learning Scientist to spearhead the development of our Large Language Models (LLM) and advanced AI agents. This role is pivotal in enabling groundbreaking research in machine learning for scientific discovery, particularly in the realm of material science and battery technology. * Harness internal expertise and collaborate with external research labs to advance scientific ML. * Work will be incorporated directly into our groundbreaking Deep Space multi-agent system for battery technology discovery. * This position can be remote. Essential Duties and Responsibilities: * Research & Development * Lead cutting-edge research in machine learning for scientific discovery, with a focus on (multimodal) Large Language Models and their application (including AI agents) in battery and material discovery. * Conduct groundbreaking research on integrating domain-specific data (including literature and internal documents) into LLM training and inference. * Investigate the mechanisms through which LLMs approach problem-solving, planning, and solution generation, particularly in the context of basic battery design questions. * Model Optimization & Implementation * Troubleshoot and optimize the training process of large language models, addressing complexities and challenges related to data quality, model architecture, and computational efficiency. * Implement innovative solutions to enhance model performance and scalability. * Collaborate closely with a multidisciplinary team to integrate findings into practical AI solutions that contribute to the discovery of new battery materials and the advancement of lithium battery technology. * Collaboration & Communication * Contribute to academic and industry discussions by publishing research findings in top-tier journals and presenting at conferences. * Engage in machine learning research aimed at addressing battery design challenges and enhancing system ability to interpret data-driven science efficiently. * The ability to communicate complex concepts clearly and effectively to both technical and non-technical team members. Education and/or Experience: * MS or PhD in Computer Science, Statistics, Computational Neuroscience, Cognitive Science or a related field, or equivalent practical experience. * Strong foundational knowledge and practical experience in Machine Learning, Deep Learning, and Large Language Models. * Proficiency in programming languages relevant to machine learning, with a strong preference for Python. * Experience with deep learning frameworks such as PyTorch or TensorFlow. * Proficiency in utilizing causal graphs for AI research and application. * A solid track record of innovative research, preferably with published work in relevant areas. * Excellent problem-solving abilities and a passion for tackling complex technical challenges. Preferred Qualifications: * Experience with AI applications in material science or battery technology. * Familiarity with the latest trends and methodologies in AI research, including algorithms such as GRPO.

Established in 1991, Collabera has been a leader in IT staffing for over 22 years and is one of the largest diversity IT staffing firms in the industry. As a half a billion dollar IT company, with more than 9,000 professionals across 30+ offices, Collabera offers comprehensive, cost-effective IT staffing & IT Services. We provide services to Fortune 500 and mid-size companies to meet their talent needs with high quality IT resources through Staff Augmentation, Global Talent Management, Value Added Services through CLASS (Competency Leveraged Advanced Staffing & Solutions) Permanent Placement Services and Vendor Management Programs. Collabera recognizes true potential of human capital and provides people the right opportunities for growth and professional excellence. Education: BS in Chemistry 7+ years' experience, MS in Chemistry 2+ years experience Job Description: Seeking an analytical biochemist with experience in the analysis of recombinant proteins. Experience with HPLC, SEC, differential scanning calorimetry, CD, capillary electrophoresis, glycan analysis, and SDS-PAGE is desired. Experience with LC/MS and LC/MS/MS is a plus. Candidates with PhDs will be considered for this opening. Additional Information To know more about this position, please contact: Vishwas Jaggi ************

At Terra Fertility, we are reimagining fertility care by making it more accessible through transparent pricing, innovative technology, and comprehensive patient education. We aim to ensure that everyone-regardless of background, language, or identity-feels informed, empowered, and supported throughout their fertility journey. Role Summary We are seeking a highly skilled Embryologist to join our IVF laboratory team in Dedham, Massachusetts. The ideal candidate will bring at least 2 years of hands-on experience in embryology, including advanced techniques such as ICSI, PGTA, cryopreservation, and embryo biopsy. The Embryologist will collaborate with clinical, laboratory, and administrative teams to support excellent patient outcomes and operational excellence. Key Responsibilities Perform ICSI, embryo biopsy (e.g., trophectoderm biopsy), and vitrification with high accuracy and success rates. Support daily operations of the embryology lab including quality control, media preparation, equipment maintenance, and documentation. Assist with oocyte retrievals, including assessment and preparation of oocytes and semen samples. Perform fertilization assessments, embryo culture, grading, and cryopreservation. Adhere to strict quality assurance, double-verification, and safety protocols to maintain lab integrity. Support embryo transfer processes and communicate with physicians and nursing teams as needed. Maintain accurate and timely records in laboratory information systems. Ensure compliance with all regulatory requirements (e.g., CLIA, FDA, OSHA). Participate in data review, protocol optimization, and lab performance improvement initiatives. Support research and validation projects as needed. Work Schedule and Compensation This is a full-time, salaried, exempt position. This role is 40 hours/week. The compensation for this role is $80,000-135,000, commensurate with experience and qualifications. Eligible for a generous bonus based on individual and clinic performance. Comprehensive health, dental, and vision insurance. 401(k) with employer match beginning on day one. Paid Time off Support for professional development and ongoing education. Inclusive, mission-driven workplace environment. Accessibility and Inclusion Terra Fertility is committed to fostering an inclusive, diverse, and equitable work environment. We are proud to be an equal opportunity employer. Reasonable accommodations are available upon request during the hiring process or on the job for individuals with disabilities. As a condition of employment, Terra Fertility requires all team members to be fully vaccinated against COVID-19 and influenza. Reasonable accommodations will be considered in accordance with applicable laws. Accommodations Terra Fertility is committed to providing equal employment opportunities to all individuals. If you require a reasonable accommodation during the application or interview process, or to perform the essential functions of this role, please contact our team at ***********************. We will work with you to meet your needs in accordance with applicable law. Requirements: Bachelor's degree in Biology, Biomedical Sciences, or related field required. Minimum of 2 years of hands-on embryology lab experience, preferably in a high-volume IVF setting. Proficiency in ICSI, embryo vitrification/warming, egg vitrification embryo biopsy, and embryo culture techniques. PGT-A biopsy experience strongly preferred. Strong working knowledge of embryology laboratory equipment, regulatory standards, and best practices. Detail-oriented with exceptional accuracy and problem-solving skills. Excellent communication and collaboration with multidisciplinary teams. Demonstrated aptitude for tech-forward embryology workflows, including rapid adoption of new digital tools, AI-assisted platforms, and laboratory automation Flexible and reliable, with availability for early mornings and occasional weekend or holiday shifts if needed.

COMPANY INTRODUCTION Triveni Bio is breaking new ground in the identification of novel disease targets - working at the convergence of human genetics, best-in-class antibody design, and precision medicine. We are pioneering a Mendelian genetics-informed precision medicine approach to develop functional antibodies for the treatment of immunological and inflammatory (I&I) disorders. Our lead antibody program (TRIV-509) targets kallikreins 5 and 7 (KLK5/7) to directly impact skin barrier function, inflammation, and itch - providing a meaningful and much needed potential treatment option for patients with atopic dermatitis and other barrier disorders. In all the work we do, we adhere to our core values: patient impact, bold and rigorous science, open collaboration, kindness & respect. SUMMARYTriveni Bio is in search of an innovative Scientist to join our Biologics team. In this role, you will design and optimize antibodies and proteins to advance Triveni's therapeutic pipeline. Your work will directly contribute to discovering new treatments for inflammatory diseases by improving library screening, data analysis, and protein engineering processes. On a day-to-day basis, you will design and test protein/antibody libraries using display technologies and analyze sequencing and screening data to identify high potential candidates. This is a unique opportunity to join a dynamic, cross-functional team where your contributions directly impact therapy development.KEY RESPONSIBILITIES: Develop and optimize screening methods to improve functional protein recovery. Analyze sequencing and high-throughput screening (HTS) data to guide design. Apply computational tools for protein stability prediction and affinity maturation. Collaborate with cross-functional teams including biology, bioinformatics, and automation teams to advance therapeutic pipelines. Use computational tools (e.g., Rosetta, AlphaFold) to predict protein behavior and guide experiments. Other duties as assigned. QUALIFICATIONS: A PhD in Protein Biochemistry, Bioengineering, Computational Biology, or a related field. Hands-on experience with display technologies (yeast display required; phage/mammalian a plus) and protein library generation (e.g., error-prone PCR). Proficiency in analyzing NGS/HTS data (Python/R, Bioconductor), familiarity with protein modeling software, and ability to integrate computational and experimental workflows. Proficiency in Python/R for data analysis and familiarity with protein modeling tools. Preferred (but not required): Knowledge of machine learning/AI applications in protein design. Industry experience in therapeutic antibody discovery/optimization. Familiarity with antibody sequence-structure relationships. $125,000 - $140,000 a year The posted range reflects the current reasonable and good faith estimate of the base salary for this full-time position. Actual compensation will be based on a variety of factors including, but not limited to, relevant skills and experience, educational background and certifications, performance and qualifications, market demand for the role, geographic location and other organizational needs. This role also offers a competitive target bonus, equity, and a comprehensive benefits package. We are committed to fair pay practices, and we regularly review our compensation programs to ensure they are competitive, equitable, and aligned with our values. Please note that the advertised pay range is not a guarantee or promise of a specific wage. Triveni Bio, along with other biotech companies, has become aware of a surge in email scams targeting prospective job candidates within our industry. Official Triveni Bio applications will always be submitted through Lever, our ATS. Any applications that take you to other platforms could be fraudulent. We do not use text or chat applications to conduct interviews or make job offers. Official Triveni Bio correspondence will always be conducted from email addresses ending in @triveni.bio. Please disregard any other communication that does not originate from this domain name. If you receive any suspicious requests or communications, please verify their authenticity before responding.

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. • The purpose of this position is to provide support in evaluating various rodent genetic backgrounds in eliciting robust immune response within GBT. • By performing phenotypic analysis of B cell compartment, deep sequencing of B cell repertoire, and studying antibody responses from immunized rodents, we will be able to understand the utility of these animals in biotherapeutic development. • The incumbent, under the supervision by Pharmaceutical scientist, will be involved in the evaluation of the animals through the use of various immunogens, immunization approaches, and characterization method Specific job description: • Perform phenotypic analysis of lymphocyte compartments of rodents • Perform deep sequencing of B cell repertoire of animals and analyze repertoire diversity pre and post immunization • Immunize rodents using various strategies • Characterize antibodies diversity post immunization • Clone and express desired monoclonal antibodies for further analysis Experience: • Knowledge and work experience in the B cell phenotypic analysis by Flow Cytometry • Knowledge and work experience in hybridoma generation • Knowledge and work experience in rodent primary B cell culture • Knowledge and work experience in Ig cloning from B cell • Knowledge and work experience in affinity purification of polyclonal antibodies • Knowledge and work experience in screening and functional assay development for selecting specific monoclonal antibodies • Work experience in NGS of Ig repertoire • Relevant industrial experience is preferred Specific work plan: a) Perform all aspects of phenotypic analysis of lymphocyte compartments of rodents b) Perform, design and analyze B cell repertoire of rodents by deep sequencing c) Perform and design immunization strategies and generate hybridoma d) Evaluate and characterize immune response and monoclonal antibodies from desired rodents e) Contribute to drafting relevant documentation such as immunization protocols, phenotypic and repertoire analysis reports and laboratory methods. Qualifications Bachelor's degree required Additional Information Best Regards, Anuj Mehta ************

Are you an internal caregiver, student, or contingent worker/agency worker at UMass Memorial Health? CLICK HERE to apply through your Workday account. Exemption Status: Non-Exempt Hiring Range: $39.96 - $71.92 Please note that the final offer may vary within this range based on a candidate's experience, skills, qualifications, and internal equity considerations. Schedule Details: Monday through Friday, Weekends (Saturday and Sunday) Scheduled Hours: Varies Shift: 1 - Day Shift, 8 Hours (United States of America) Hours: 0 Cost Center: 34000 - 3411 IVF This position may have a signing bonus available a member of the Recruitment Team will confirm eligibility during the interview process. Everyone Is a Caregiver At UMass Memorial Health, everyone is a caregiver - regardless of their title or responsibilities. Exceptional patient care, academic excellence and leading-edge research make UMass Memorial the premier health system of Central Massachusetts, and a place where we can help you build the career you deserve. We are more than 20,000 employees, working together as one health system in a relentless pursuit of healing for our patients, community and each other. And everyone, in their own unique way, plays an important part, every day. Position Summary: Perform various embryological medical procedures, including IVF and fertility analysis. Major Responsibilities: Counsel and advise patients on fertility and ART (Assisted Reproductive Technology) procedures. Treat infertility issues using ART. Oversee day-to-day technical and administrative aspects of IVF lab operation under the direction of IVF Laboratory Director. Technical benchwork, quality control and quality assurance activities and paperwork. Train newly hired embryologists. Work closely with the lab director and medical director to assure quality patient care and compliance with regulatory and accrediting agencies. Resolve technical problems including equipment troubleshooting following manufacturer's instructions and/or in accordance with policies and procedures approved by the laboratory director. Review, revise, and write IVF laboratory protocols. All responsibilities are essential job functions. Position Qualifications: License/Certification/Education: Required: Bachelor's degree in chemical, physical, biological, medical technology, clinical or reproductive laboratory science from an accredited institution. Preferred: Master's degree in chemical, physical, biological, medical technology, clinical or reproductive laboratory science from an accredited institution. Certification as Technical Supervisor (American Board of Bioanalysis). Experience/Skills: Required: Experience of at least 3 years in all IVF procedures including, ICSI, AH, vitrification, blastocyst biopsy and other related procedures. Be proficient in all IVF procedures including intracytoplasmic sperm injection (ICSI), Assisted hatching (AH), embryo/blastocyst vitrification, blastocyst biopsy, biopsied cell processing for PGT, oocyte vitrification and warming. Knowledge to conduct CAP, FDA, and CLIA inspections. Excellent communication, both verbal and written Basic computer skills necessary for data entry, making data summary tables/spreadsheets and operating electronic medical record. Must be detail oriented and a team player. Preferred: Unless certification, licensure or registration is required, an equivalent combination of education and experience which provides proficiency in the areas of responsibility listed in this description may be substituted for the above requirements. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. We're striving to make respect a part of everything we do at UMass Memorial Health - for our patients, our community and each other. Our six Standards of Respect are: Acknowledge, Listen, Communicate, Be Responsive, Be a Team Player and Be Kind. If you share these Standards of Respect, we hope you will join our team and help us make respect our standard for everyone, every day. As an equal opportunity and affirmative action employer, UMass Memorial Health recognizes the power of a diverse community and encourages applications from individuals with varied experiences, perspectives and backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, gender identity and expression, protected veteran status or other status protected by law. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at ***********************************. We will make every effort to respond to your request for disability assistance as soon as possible.

Program: The Fellowship will provide a two-year mentored training experience in research focused on cancer health policy at Dana-Farber Cancer Institute (DFCI) and Beth Israel-Deaconess Medical Center (BIDMC), which are both Harvard Medical School teaching hospitals. This unique program brings together expertise in cancer care delivery research (Dana-Farber's Center for Outcomes and Policy Research), along other Population Sciences pillars (DFCI's cancer genetics, health communication, clinical computational oncology), and health policy (BIDMC's Health Policy Section at the Smith Center for Outcomes Research), providing an exceptional environment for postdoctoral fellows to develop and carry out research at the intersection of oncology and health policy under shared mentorship between these programs. Goal: To develop the next generation of leaders in oncology and health policy by providing rigorous training in the use of big data, advanced biostatistical methods, and econometric approaches, paired with dedicated mentorship from experts to advance innovative, high-impact research. A two-year joint post-doctoral training program between the Division of Population Sciences at Dana-Farber Cancer Institute and the Richard A. and Susan F. Smith Center for Outcomes Research at Beth Israel Deaconess Medical Center. 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. + Post-doctoral fellows will spend two years (starting July 2026) conducting mentored research. + The fellow will be housed within the Division of Population Sciences at Dana-Farber Cancer Institute (DFCI) in Boston, Massachusetts, which will provide space, salary support, the support of an experienced mentor in the Division, and opportunity to participate in seminars on cancer care delivery research, genetics and prevention, and/or clinical computational oncology. + The fellow will also receive joint mentorship and training at the Smith Center for Outcomes Research (BIDMC), including support of an experienced mentor in health policy, participation in seminars focused on health policy and statistical methods for causal inference, access to diverse national data sources, and analytic support. + Based on interests identified at the time of application, the fellow will be guided toward appropriate mentors who will provide research oversight and supervision. + The mentors will work closely with the fellow to refine research questions, develop study designs, and create rigorous analytic plans. + They will provide ongoing guidance to fellows to ensure successful execution of the research and will actively support dissemination of research findings through talks and publications. + During the two-year fellowship, we will encourage submission of a K series or other career development award to ensure a successful transition to an independent faculty position upon completion of the program. Faculty Co-Directors: Jennifer Mack, MD MPH, Director of the Center for Outcomes and Policy Research and Associate Chief of the Division of Population Sciences, DFCI Rishi Wadhera, MD, MPP, MPhil, Director of the Health Policy Section of the Richard A. and Susan F. Smith Center for Outcomes Research, BIDMC Funding: Salary is supported by the McGraw/Patterson fund in the Division of Population Sciences at Dana-Farber Cancer Institute. **Interested applicants should send the following to Nicole Santangelo (Nicole_***************************) by December 12, 2025:** + A completed application + Curriculum vitae + 2-3 letters of professional recommendation, submitted directly to Nicole Santangelo at the address above + A one-page statement describing professional background and training to date (Arial 11-point font, single spaced, 1 inch margins) + A one-page statement describing research interests, career goals, and interest in the fellowship (Arial 11-point font, single spaced, 1 inch margins) + Applicants must have completed a Ph.D. or M.D. degree in medicine, public health, or a related field in order to apply (or have an anticipated degree by July 2026) + Applicants may be in a clinical field (eg, medicine, nursing) or a non-clinical discipline (eg, health policy, economics, social sciences). + Applicants from a clinical field should have training in a field relevant to cancer health policy. 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) $72,000 - $76,385 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 committed to having faculty and staff who offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and compassionate 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**

Job Description Come join CCRM Fertility, a global pioneer in fertility treatment, research, science, specializing in IVF, fertility testing, egg freezing, preimplantation genetic testing, third party reproduction and egg donation. As a member of CCRM Fertility's diverse team of professionals, you will be a part of helping families grow and changing lives. We take pride in providing our employees with meaningful employment, a supportive culture, and a well-balanced personal & work life alignment. For more information, visit *************** Location Address: Department: IVF Laboratory Work Schedule: Monday - Friday (8:00am - 4:30pm) What We Offer Our Team Members: Generous Paid time-off (PTO) and paid holidays Medical, Dental, and Vision Insurance Health benefits eligible the first day of the month following your start date. 401(k) Plan with Company Match (first of the month following 2 months of service) Basic & Supplement Life Insurance Employee Assistance Program (EAP) Short-Term Disability Flexible spending including Dependent Care and Commuter benefits. Health Savings Account CCRM Paid Family Medical Leave (eligible after 1 year) Supplemental Options (Critical Illness, Hospital Indemnity, Accident) Professional Development, Job Training, and Cross Training Opportunities Bonus Potential What You Will Do: The Senior Embryologist will be responsible for performing all procedures in the IVF Laboratory under the direction of the IVF Laboratory Supervisor. The Senior Embryologist must demonstrate knowledge and skills related to the various procedures performed in the IVF Laboratory. The Senior Embryologist reports directly to the IVF Lab Supervisor. Perform daily, weekly, and periodic function checks and maintenance on equipment and trouble shoot equipment problems and make appropriate decisions for repair, with guidance. Follow appropriate blood borne pathogen handling and disposal procedures. Perform all aspects of media/medium preparation with sterile technique for each case and documents the lots used. Process semen for IVF procedures according to IVF lab protocol. Assist physician during egg retrievals and is able to locate and assess all oocytes retrieved in a timely manner. Able to trim oocytes without trauma or injury to the oocytes. Adhere to the IVF lab's double signature and check system when performing procedures to ensure correct identity of eggs, sperm, and embryos. Document all patients' results into the IVF Lab information system (LIS). Perform daily fertilization checks which includes “cleaning” embryos with minimal trauma (insemination cases) to observe fertilization. Assess fertilization by observation of pronuclei and polar bodies. Perform freezing and thawing of human embryos according to IVF lab protocol with a high survival rate. Perform oocyte inseminations according to IVF lab protocol. Able to hyal and strip oocytes for ICSI with minimal trauma. Perform Intracytoplasmic Sperm Injection (ICSI) according to IVF lab procedures resulting in high fertilization rates. Assist physician with embryo transfer and ensures proper identification of the patient with a “time-out” before the transfer. Assist physician during PESA, MESA and TESE procedures by locating and processing sperm found according to IVF lab procedures. Perform biopsy procedures, including trophectoderm biopsy, resulting in high number of embryos returning a test result. Embryos biopsied result in a high survival rate when thawed and an acceptable implantation rate when transferred. Other duties as assigned. What You Bring: Bachelor's Degree in Biology, Chemistry, or Microbiology required. Medical technology licensure/certificate required if Embryologist completed a medical technology university-based program. 5+ years' experience in laboratory or scientific research required (Med laboratory preferred). Computer and database experience preferred. Working Conditions: The physical demands described here are representative of those which should be met, with or without reasonable accommodation (IAW ADA Guidelines), by an employee to successfully perform the essential functions of this job. This job operates in a professional office and clinical setting. This role routinely uses standard office equipment such as computers, including computer keyboards and mice; telephones; photocopiers; scanners; filing cabinets. While performing the duties of this job, the employee is regularly required to communicate with others. The employee is frequently required to sit; will occasionally stand and/or walk; use hands and fingers to grasp, pick, pinch, type; and reach with hands and arms. Employees should have the visual acuity to perform an activity such as: preparing and analyzing data and figures, viewing a computer terminal, extensive reading, and operation of standard office machines and equipment. CCRM's Compensation: The salary range represents the national average compensation for this position. The base salary offered will vary based on location, experience, skills, and knowledge. The pay range does not reflect the total compensation package. Our rewards may include an annual bonus, flexible work arrangements, and many other region-specific benefits. Pre-Employment Requirements: All offers of employment are conditional upon the successful completion of the CCRM Fertility onboarding process, including verification of eligibility and authorization to work in the United States. This employer participates in the E-Verify Program in order to verify the identity and work authorization of all newly hired employees. Equal Employment/Anti-Discrimination: We are an equal-opportunity employer. In all aspects of employment, including the decision to hire, promote, discipline, or discharge, the choice will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Wave seeks Scientist-I for Cambridge, MA location. Duties include: Research Leadership & Competitive Intelligence Conduct competitive intelligence research to evaluate targets for novel RNA therapies. Analyze scientific literature, industry reports, and competitive landscapes to identify novel disease targets and assess feasibility for antisense oligonucleotide (ASO) intervention. (10%) Lead target discovery and validation programs by designing and overseeing experiments that investigate target biology, mechanism of action, and therapeutic potential of ASO candidates. Work closely with cross-functional teams to prioritize and advance promising targets. (10%) Cross-functional & Strategic Leadership Lead and manage multifunctional teams by driving collaboration between Chemistry, Biology, DMPK, and Toxicology teams to develop comprehensive preclinical strategies to advance ASO candidates. Serve as the scientific lead for target programs. (10%) Participate in strategic decision-making with senior leadership on ASO program viability, target selection, and competitive positioning. Present findings to executive stakeholders to shape research priorities. (5%) Preclinical & Translational Research Independently lead and direct preclinical research programs to advance ASO therapeutics for rare and severe neurodegenerative diseases including Ataxias and other CNS indications. Define project scope, experimental strategy, and key milestones. (10%) Manage and prioritize multiple in vivo pharmacology studies by defining study designs, analyzing PK/PD relationships, and driving strategic decision-making for candidate selection and optimization. Serve as primary point of contact for internal and external study partners. (10%) Oversee development of new high-throughput in vitro assays to assess potency, efficacy, and cellular uptake of ASO therapeutics in patient-derived iPSCs, primary neurons, and astrocytes. Establish best practices and improve throughput efficiency. (8%) Regulatory & External Engagement Drive regulatory and scientific documentation, including drafting, reviewing, and finalizing study reports, Standard Operating Procedures (SOPs), and regulatory submissions and ensure compliance with industry standard and regulatory requirements. (10%) Represent company at external scientific meetings, conferences, and partner collaborations to communicate study results, scientific insights, and research milestones. (10%) Mentorship & Innovation Mentor junior scientists, research associates, and cross-functional team members by providing technical guidance, performance feedback, and professional development support. (8%) Drive new technology development initiatives by identifying and implementing novel methodologies for ASO delivery, target engagement, and efficacy assessment. (4%) Laboratory Operations Manage procurement and evaluation of external research tools, reagents, and technologies to optimize lab workflows and support experimental execution. (5%) Position requires MS or foreign equivalent in Biotechnology, Molecular Biology, Neuroscience, Pharmacology, or related field and 4 years' experience in nucleic acid therapeutic research and development of antisense oligonucleotides (ASOs) for central nervous system (CNS) and neurodegenerative disorders. Experience must include the following (may be gained concurrently): 4 years' experience in competitive early stage research and screening of therapeutic targets for RNA and nucleic acid-based medicines to address severe neurodegenerative conditions. 4 years' experience designing and implementing experimental models for therapeutic target evaluation and validation and designing, executing, and analyzing large-scale SAR Relationship (SAR) screens for ASOs utilizing transcriptomic and proteomic approaches to assess RNA-based interventions, optimizing SAR screening conditions across multiple cellular models, identifying lead compounds, and refining lead progression strategies for CNS and neuromuscular disorders. 4 years' experience developing and performing mechanistic studies to assess oligonucleotide activity including transcript and protein-level evaluations using RNA-seq, qPCR, and hybridization-based assays. 4 years' experience leading design and execution of in vitro PD, PK, and biodistribution studies and assessments in mouse models for ASO therapeutic candidates. 4 years' experience working with iPSCs, NPCs, and primary neurons including differentiation into disease-relevant neuronal subtypes for ASO screening and validation. 4 years' experience performing quantitative protein analysis for oligonucleotide therapeutics including ELISA, Western blotting, and amplicon sequencing to measure ASO-mediated protein modulation in CNS and peripheral tissues, and generating RNA and protein analysis workflows such as BRAVO (liquid handler), qPCR and MSD to assess drug-target interactions. 4 years' experience collaborating with cross-functional teams such as chemistry, toxicology, and DMPK groups to optimize lead candidate selection, analyze biodistribution results, and prepare preclinical data packages. 4 years' experience investigating impact of chemical modifications on target engagement, allele selectivity, potency, and duration utilizing stereopure phosphorothioate (PN) chemistry platform. 4 years' experience utilizing amplicon sequencing pipelines to validate allele selectivity in ASO-treated samples including SNP phasing, detection of allele-specific expression, and validation of knockdown selectivity in preclinical disease models. 2 years' experience leading large-scale preclinical oligo PK/PD studies to determine IC50 values, assess drug distribution, target engagement levels, and clearance in CNS and peripheral tissues, and generate critical dose-response data to support ASO therapies preclinical development . 2 years' industry experience preparing and reviewing regulatory documentation, including SOPs, preclinical study reports, and IND filings. 2 years' experience mentoring junior scientists in drug study design, bioassay development, and data interpretation using statistical tools such as GraphPad and JMP and implementing workflow optimizations such as KNIME workflow and ThinkCell software to enhance experimental reproducibility. 1 year experience presenting findings at scientific meetings, and/or external collaborations, including contributions to peer-reviewed publications. 6 months experience applying molecular biology techniques including RNA/DNA extraction, PCR and gel electrophoresis for at least 50 experiments in laboratory setting. 6 months' experience performing computational analysis of sequencing data using BLAST, SnapGene and Primer3 for sequence design and data interpretation. #LI-DNI

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. We serve an extraordinary purpose. For more than 140 years, we have worked diligently to discover medicines that make life better. These discoveries start in Lilly Research Laboratories, where our scientists work to create new medicines that will help solve our world's greatest health challenges. At the Lilly Innovation Center in Boston, Massachusetts, we explore how next generation therapeutics, new technologies, data analytics and new care models can improve patient health and the healthcare system. Our Genetic Medicine team in Boston shares a passion for challenging conventional wisdom and creating an environment that embraces creative, break-through concepts. The Center offers a start-up environment with large company support. It is located in the heart of Massachusetts' exploding science and technology cluster and is within walking distance of some of the best academic and industry innovators in the world. The successful candidate will have a strong research track record in synthetic organic chemistry/chemical biology/biotechnology and be analytically minded, systematic, and embrace data-driven decision making. The scientist will collaborate with multidisciplinary teams across key Lilly therapeutic areas (e.g. neuroscience, diabetes, immunology) to perform synthesis and related experiments to aid development of RNA oligonucleotide drug candidates for the next generation of RNA therapies. Key responsibilities include: * Perform synthesis and chromatographic purification of innovative phosphoramidite monomers, and carry out conjugation of novel ligands-such as small molecules and peptides-to oligonucleotides for targeted delivery. * Design and execution of automated workflows for synthesizing, purifying, and analyzing ASOs, si RNAs, SSOs, and related oligonucleotides across various chemistries and scales using advanced instrumentation platforms. * Apply analytical techniques including UV-Vis spectroscopy, NMR, HPLC, and LC-MS to evaluate both crude and purified synthetic compounds. * Interpret and organize analytical data and research outcomes for presentation to project teams. * Support resolution of technical issues and contribute scientific and technical insights to ongoing projects. * Provide strategic input into experimental planning, integrated data analysis, and effective communication of results to scientific teams and leadership. * Maintain meticulous records of experimental procedures and key steps to ensure reproducibility, including accurate documentation in electronic lab notebooks in accordance with Lilly's quality standards. * Assist with general lab operations such as ordering supplies, preparing reagents, and maintaining equipment. * Collaborate closely with colleagues across multiple sub-teams within the Lilly LGM group. * Adhere strictly to all health and safety protocols. * Demonstrate a strong commitment to fostering a diverse and inclusive laboratory environment every day. Basic Qualifications: * Bachelor's or Master's Degree in chemistry, biochemistry, pharmacology, or related scientific field * 1+ years of work experience in an academic laboratory, or preferably in an industrial setting Additional Skills/Preferences: * Demonstrated expertise in organic synthesis and advanced chromatographic purification techniques is essential. Prior experience with the synthetic manipulation of nucleosides, nucleotides, phosphoramidites is highly desirable. * Hands-on experience in conjugation and bioconjugation chemistry; familiarity with solid-phase synthesis methods for oligonucleotides or peptides is a plus. * Proven laboratory proficiency with analytical instruments such as HPLC and LC-MS, including the ability to analyze, interpret, and effectively communicate data. * Adaptable and highly motivated to thrive in a dynamic, fast-paced research environment. * Strong communication skills and a collaborative mindset, with the ability to work efficiently across interdisciplinary teams. * Exceptional organizational abilities, attention to detail, and critical thinking skills; capable of multitasking and eager to learn new methodologies and contribute to innovation. * Skilled in processing, structuring, analyzing, and visualizing data from diverse sources, with the ability to derive meaningful insights. * Proficient in Microsoft Excel, Word, PowerPoint, and analytical software relevant to experimental methods. 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 $69,000 - $179,300 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

About The Opportunity We are on the hunt for a computational biology scientist with an emphasis on epigenomic analysis. This role involves formulating computational methods and conducting interpretative analyses integral to a variety of therapeutic applications relevant to the emerging wave of next gen precision medicines such as ADCs, RLTs, and immunotherapies and diagnostic applications. This is a unique opportunity for someone passionate about applying innovative methodologies to reveal key biological insights in patients. If you're intrigued by the prospect of joining an early-stage company with an experienced team operating at a rapid pace, and applying a novel platform to better understand and predict disease biology, this could be your perfect match. About Us Founded in 2021, Precede Biosciences is a diagnostic company pioneering a minimally invasive, comprehensive epigenomics platform. Our technology has the potential to profoundly impact the research and development of new medicines and getting the right therapy to the right patient at the right time. More information on our company and platform can be found on our company website and in our recent publication in Nature Medicine. Our team cares deeply about creating a place where folks can do their best work from the start and have intentionally created an environment that is defined by purpose, teamwork, and excellence. This means nurturing team spirit, facing challenges together, collaboratively solving complex problems, while also ensuring a strong focus on individual initiative, accountability, and delivery. What You'll Do * You will blend biological insights with computational techniques to develop predictive models with immediate clinical applications. * You will lead projects that bridge the biological understanding of disease-relevant systems with computational analyses to drive diagnostic innovation. * Working with a skilled team of computational biologists, you will spearhead the analysis of novel epigenomic data and refine its clinical impact. * You will explore the biological underpinnings of numerous disease areas to produce biologically informed analyses that demonstrate significant endpoints. * Additionally, you will create novel predictors with diagnostic relevance suitable for clinical use. * As a key member of a cross-functional team that encompasses clinical, translational, computational, and product development, you will collaborate with various stakeholders to make innovative diagnostics a reality. What You'll Bring * PhD in Computational Biology, or related field, and 0-4 years experience in industry or as a postdoc * You have experience in using computational analyses of the epigenome to weave a compelling biological narrative. * You are comfortable presenting this narrative in a group setting. * All levels of experience are encouraged to apply, and the role will be set commensurate with your experience. * You are excited by challenging problems and a fast-paced work environment. * You thrive in startup culture, comfortable taking on new projects with minimal direction, and are adaptive in response to feedback and evolving information. * You are proficient in either R (Bioconductor) or Python. * You value diversity, learning from various perspectives, and working collaboratively on multidisciplinary teams. We believe in building an inclusive and balanced team. We also know meeting every single-exact-criteria can get in the way of meeting stellar folks. Please don't hesitate to apply! Precede Biosciences is an equal opportunity employer. We do not discriminate in regard to race, color, religion, national origin, age, sex, sexual orientation, gender identity, marital status, ancestry, physical or mental disability, veteran status, or any other legally protected. Please note that we do not accept unsolicited resumes from recruitment agencies and external recruiters. No fees will be paid for such submissions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About The Opportunity We are on the hunt for a computational biology scientist with an emphasis on epigenomic analysis. This role involves formulating computational methods and conducting interpretative analyses integral to a variety of therapeutic applications relevant to the emerging wave of next gen precision medicines such as ADCs, RLTs, and immunotherapies and diagnostic applications. This is a unique opportunity for someone passionate about applying innovative methodologies to reveal key biological insights in patients. If you're intrigued by the prospect of joining an early-stage company with an experienced team operating at a rapid pace, and applying a novel platform to better understand and predict disease biology, this could be your perfect match. About Us Founded in 2021, Precede Biosciences is a diagnostic company pioneering a minimally invasive, comprehensive epigenomics platform. Our technology has the potential to profoundly impact the research and development of new medicines and getting the right therapy to the right patient at the right time. More information on our company and platform can be found on our company website and in our recent publication in Nature Medicine. Our team cares deeply about creating a place where folks can do their best work from the start and have intentionally created an environment that is defined by purpose, teamwork, and excellence. This means nurturing team spirit, facing challenges together, collaboratively solving complex problems, while also ensuring a strong focus on individual initiative, accountability, and delivery.What You'll Do You will blend biological insights with computational techniques to develop predictive models with immediate clinical applications. You will lead projects that bridge the biological understanding of disease-relevant systems with computational analyses to drive diagnostic innovation. Working with a skilled team of computational biologists, you will spearhead the analysis of novel epigenomic data and refine its clinical impact. You will explore the biological underpinnings of numerous disease areas to produce biologically informed analyses that demonstrate significant endpoints. Additionally, you will create novel predictors with diagnostic relevance suitable for clinical use. As a key member of a cross-functional team that encompasses clinical, translational, computational, and product development, you will collaborate with various stakeholders to make innovative diagnostics a reality. What You'll Bring PhD in Computational Biology, or related field, and 0-4 years experience in industry or as a postdoc You have experience in using computational analyses of the epigenome to weave a compelling biological narrative. You are comfortable presenting this narrative in a group setting. All levels of experience are encouraged to apply, and the role will be set commensurate with your experience. You are excited by challenging problems and a fast-paced work environment. You thrive in startup culture, comfortable taking on new projects with minimal direction, and are adaptive in response to feedback and evolving information. You are proficient in either R (Bioconductor) or Python. You value diversity, learning from various perspectives, and working collaboratively on multidisciplinary teams. We believe in building an inclusive and balanced team. We also know meeting every single-exact-criteria can get in the way of meeting stellar folks. Please don't hesitate to apply!Precede Biosciences is an equal opportunity employer. We do not discriminate in regard to race, color, religion, national origin, age, sex, sexual orientation, gender identity, marital status, ancestry, physical or mental disability, veteran status, or any other legally protected.Please note that we do not accept unsolicited resumes from recruitment agencies and external recruiters. No fees will be paid for such submissions.

About the Opportunity This job seeks a postdoc to work on one or more projects related to the development and assessment of wearable robotics. Possible projects topics include: * Developing machine-learning based exoskeleton controllers to work across tasks * Designing and validating new robotic lower-limb prostheses * Exploring other high-risk high-reward research areas related to device design, control, and evaluation The ideal candidate will lead their own project, and also collaborate with and support 1-2 PhD students on their projects. The ideal candidate will also be interested in learning to write grants, and develop their ideas further towards academic independence. Qualifications PhD in Mechanical Engineering, Biomedical Engineering, Robotics, or similar. Position Type Research 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. Compensation Grade/Pay Type: 108S Expected Hiring Range: $59,425.00 - $83,935.00 With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.

Job DescriptionSalary: The Scientist will contribute to Extractables & Leachables studies performed in the E&L laboratory at Boston Analytical to support client submissions. The ideal candidate will have experience operating LC-MS and GC-MS systems for analysis of volatile, semi-volatile, and nonvolatile organic extractables and leachables samples. PRIMARY DUTIES AND RESPONSIBILITIES Prepares extractions for analysis. Analysis of sample extract solutions by GC-MS and LC-MS to adequately resolve and identify all compounds. Coordinate findings with the team to generate conclusions. Author detailed cGMP report sections for work performed outlining study findings. Develop analysis methods for drug product leachables testing. Performs system maintenance and calibrations to ensure equipment is operating with specified requirements. Ensures all work performed strictly adheres to Company, client and Pharmacopial requirements. Proper handling of hazardous waste in compliance with the Company and DES hazardous waste rules. REQUIREMENTS & QUALIFICATIONS Qualification includes a Ph.D. in Analytical Chemistry with 2+ years experience or a Masters degree and 4+ years experience or a Bachelors with 6+ years of experience performing and interpreting MS analysis. Knowledge of current Extractable & Leachables guidance (USP, ISO 10993) and best practices preferred. Experience working in a cGMP environment required. MINIMUM SKILLS REQUIREMENTS Must have the ability and skill to perform the detailed job requirements noted above competently, safely and proficiently. A self-starter, motivated person who possesses good interpersonal skills capable of effectively interacting with all departments and client personnel. Must have excellent organizational, verbal communication and technical writing skills. Must be a team player with integrity and concern for the quality of Company products, services and staff members. Demonstrated LC-MS and/or GC-MS operation and data interpretation capability. Ability to develop and optimize HPLC, UPLC, and GC methods. Documented success managing complex projects to completion within customer expectations for deadline, cost, and overall deliverable

About the Job The Researcher, Talent Acquisition leads and performs research activities for executive level, management level, and hard-to-fill positions within Foundation Medicine. This role independently uses a range of sourcing skills including research, networking, and candidate development to identify the best talent for Foundation Medicine across all functions. Key Responsibilities * Conduct research to map Foundation Medicine's markets and generate candidate names and profiles. * Identify industry trends and insights to inform the creation of robust search strategies that will attract the best candidates for Foundation Medicine to consider. * Partner effectively on searches with TA leaders across the team. Successfully collaborate on team-based recruiting efforts to meet the hiring demands of the business. * Calibrate candidates with recruiters and/or hiring managers. * Build a proactive pipeline of talent for critical functions/industries. * Maintain data integrity in our candidate management system. * Initial candidate outreach and screening for basic qualifications. * Contribute to the knowledge base of the Talent Acquisition team by providing education on industries and talent pools/profiles. * Draw off knowledgeable industry sources to develop pools of candidates. * Participate in client update meetings on active searches and prepare reports. * Think outside of the box, pivoting search strategies as needed. * Leverage analytics from both internal and external tools/resources to innovate and improve our current executive search and Talent Acquisition systems and processes. * Provide strategic guidance and advice in partnership with Talent Acquisition and executive leadership. * Identify and showcase exceptional diverse talent to be considered for opportunities at Foundation Medicine. * Other duties as assigned. Qualifications: Basic Qualifications: * Bachelor's Degree * 3+ years of recruiting or human resources experience, with 1+ year(s) of experience in talent research/pipelining Preferred Qualifications: * 3+ years of progressively responsible experience in talent research, either for an in-house executive search team in a highly demanding, fast-paced company, or in a large retained executive search company or boutique * Life sciences industry experience * Established history of delivering quality senior-level candidate flows that have led to successful hires * Deep expertise in leveraging LinkedIn Recruiter, LinkedIn Insights, Google, and other tools to source candidates * Demonstrated success with and passion for using various sourcing techniques * Ability to work autonomously and as part of a team * Ability to meet growing pipeline demand in a dynamic environment * Demonstrated acumen and passion for executive search and talent acquisition * Demonstrated experience in setting priorities and effectively managing multiple projects * Exceptional research, executive sourcing, and assessing skills * Effective oral and written communication skills with the ability to convey complex concepts with senior level executives in a polished and professional manner * High attention to detail with a strong sense of urgency * Hands-on and detailed approach to key initiatives and activities execution * Skilled at conflict resolution and problem-solving to achieve win-win outcomes * Understanding of HIPAA and importance of privacy of patient data * Commitment to reflect Foundation Medicine's values: Integrity, Courage, Passion The expected compensation for this position based on the primary location of Remote is $40 - $55/hour. The hourly rate is commensurate with Foundation Medicine's compensation practice and considers factors including, but not limited to, education, training, experience, external market conditions, criticality of role, and internal equity. A discretionary annual bonus may be available based on individual and Company performance. #LI-Remote

SES AI Corp. (NYSE: SES) is dedicated to accelerating the world's energy transition through groundbreaking material discovery and advanced battery management. We are at the forefront of revolutionizing battery creation, pioneering the integration of cutting-edge machine learning into our research and development. Our AI-enhanced, high-energy-density and high-power-density Li-Metal and Li-ion batteries are unique; they are the first in the world to utilize electrolyte materials discovered by AI. This powerful combination of "AI for science" and material engineering enables batteries that can be used across various applications, including transportation (land and air), energy storage, robotics, and drones. To learn more about us, please visit: ********** What We Offer: A highly competitive salary and robust benefits package, including comprehensive health coverage and an attractive equity/stock options program within our NYSE-listed company. The opportunity to contribute directly to a meaningful scientific project-accelerating the global energy transition-with a clear and broad public impact. Work in a dynamic, collaborative, and innovative environment at the intersection of AI and material science, driving the next generation of battery technology. Significant opportunities for professional growth and career development as you work alongside leading experts in AI, R&D, and engineering. Access to state-of-the-art facilities and proprietary technologies are used to discover and deploy AI-enhanced battery solutions. What we Need: The SES AI Prometheus team is seeking an exceptional Scientist, Molecular AI Architecture to pioneer the convergence of biological computation, large-scale multimodal foundation models, and explainable AI architectures. This visionary role will drive next-generation materials discovery by developing novel AI systems. Essential Duties and Responsibilities: AI Architecture & Design: Architect novel AI systems and deep neural architectures (e.g., Transformers, CNNs) inspired by principles of systems neuroscience and neural coding principles. Design and implement large-scale multimodal foundation models and agentic AI systems capable of complex reasoning over molecular and battery datasets. Develop methods for model interpretability, representation engineering, and causal reasoning to ensure AI results are explainable and trustworthy for materials science. High-Performance Computing & Efficiency Lead software development efforts for high-performance computing (HPC), focusing heavily on GPU programming and scaling the training and inference efficiency of large neural networks. Optimize complex ML frameworks (like JAX) within systems and cluster computing environments (e.g., Singularity). Scientific ML Integration Create automated data-labeling and behavioral encoding models specifically designed to enhance Molecular AI training and data efficiency. Apply Scientific ML principles to complex molecular and battery datasets, translating biological computation concepts into practical AI solutions for materials discovery. Education and/or Experience: Education: Ph.D. in Computational and Systems Biology, Computational Neuroscience, or a closely related quantitative field. Core Expertise: Deep, demonstrated expertise in systems neuroscience, machine learning, and the design and implementation of deep neural architecture. HPC Software: Proven experience with software development for High-Performance Computing (HPC) environments, including expert-level GPU programming. Model Design: Practical experience in designing and training foundation models and working with concepts like multi-agent reasoning models. Interpretability Focus: Demonstrated work in model interpretability and representation engineering applied to complex scientific data. Preferred Qualifications: Specialized Frameworks: Practical experience with advanced mathematical and machine learning frameworks like JAX and Julia. Advanced Techniques: Expertise in Bayesian inference and working within specialized container/computing environments like Singularity. Advanced AI: Experience with the design and application of agentic AI systems and multimodal reasoning architectures.

Established in 1991, Collabera has been a leader in IT staffing for over 22 years and is one of the largest diversity IT staffing firms in the industry. As a half a billion dollar IT company, with more than 9,000 professionals across 30+ offices, Collabera offers comprehensive, cost-effective IT staffing & IT Services. We provide services to Fortune 500 and mid-size companies to meet their talent needs with high quality IT resources through Staff Augmentation, Global Talent Management, Value Added Services through CLASS (Competency Leveraged Advanced Staffing & Solutions) Permanent Placement Services and Vendor Management Programs. Collabera recognizes true potential of human capital and provides people the right opportunities for growth and professional excellence. Education: BS in Chemistry 7+ years' experience, MS in Chemistry 2+ years experience Job Description: Seeking an analytical biochemist with experience in the analysis of recombinant proteins. Experience with HPLC, SEC, differential scanning calorimetry, CD, capillary electrophoresis, glycan analysis, and SDS-PAGE is desired. Experience with LC/MS and LC/MS/MS is a plus. Candidates with PhDs will be considered for this opening. Additional Information To know more about this position, please contact: Vishwas Jaggi ************

Program: The Fellowship will provide a two-year mentored training experience in research focused on cancer health policy at Dana-Farber Cancer Institute (DFCI) and Beth Israel-Deaconess Medical Center (BIDMC), which are both Harvard Medical School teaching hospitals. This unique program brings together expertise in cancer care delivery research (Dana-Farber's Center for Outcomes and Policy Research), along other Population Sciences pillars (DFCI's cancer genetics, health communication, clinical computational oncology), and health policy (BIDMC's Health Policy Section at the Smith Center for Outcomes Research), providing an exceptional environment for postdoctoral fellows to develop and carry out research at the intersection of oncology and health policy under shared mentorship between these programs. Goal: To develop the next generation of leaders in oncology and health policy by providing rigorous training in the use of big data, advanced biostatistical methods, and econometric approaches, paired with dedicated mentorship from experts to advance innovative, high-impact research. A two-year joint post-doctoral training program between the Division of Population Sciences at Dana-Farber Cancer Institute and the Richard A. and Susan F. Smith Center for Outcomes Research at Beth Israel Deaconess Medical Center. 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. Responsibilities * Post-doctoral fellows will spend two years (starting July 2026) conducting mentored research. * The fellow will be housed within the Division of Population Sciences at Dana-Farber Cancer Institute (DFCI) in Boston, Massachusetts, which will provide space, salary support, the support of an experienced mentor in the Division, and opportunity to participate in seminars on cancer care delivery research, genetics and prevention, and/or clinical computational oncology. * The fellow will also receive joint mentorship and training at the Smith Center for Outcomes Research (BIDMC), including support of an experienced mentor in health policy, participation in seminars focused on health policy and statistical methods for causal inference, access to diverse national data sources, and analytic support. * Based on interests identified at the time of application, the fellow will be guided toward appropriate mentors who will provide research oversight and supervision. * The mentors will work closely with the fellow to refine research questions, develop study designs, and create rigorous analytic plans. * They will provide ongoing guidance to fellows to ensure successful execution of the research and will actively support dissemination of research findings through talks and publications. * During the two-year fellowship, we will encourage submission of a K series or other career development award to ensure a successful transition to an independent faculty position upon completion of the program. Faculty Co-Directors:Jennifer Mack, MD MPH, Director of the Center for Outcomes and Policy Research and Associate Chief of the Division of Population Sciences, DFCIRishi Wadhera, MD, MPP, MPhil, Director of the Health Policy Section of the Richard A. and Susan F. Smith Center for Outcomes Research, BIDMC Funding:Salary is supported by the McGraw/Patterson fund in the Division of Population Sciences at Dana-Farber Cancer Institute. Interested applicants should send the following to Nicole Santangelo (Nicole_***************************) by December 12, 2025: * A completed application * Curriculum vitae * 2-3 letters of professional recommendation, submitted directly to Nicole Santangelo at the address above * A one-page statement describing professional background and training to date (Arial 11-point font, single spaced, 1 inch margins) * A one-page statement describing research interests, career goals, and interest in the fellowship (Arial 11-point font, single spaced, 1 inch margins) Qualifications * Applicants must have completed a Ph.D. or M.D. degree in medicine, public health, or a related field in order to apply (or have an anticipated degree by July 2026) * Applicants may be in a clinical field (eg, medicine, nursing) or a non-clinical discipline (eg, health policy, economics, social sciences). * Applicants from a clinical field should have training in a field relevant to cancer health policy. 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) $72,000 - $76,385 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 committed to having faculty and staff who offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and compassionate 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