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Job DescriptionApplied Machine Learning/AI ScientistRepertoire Immune Medicines is a clinical-stage biotechnology company harnessing the power of the human immune system to develop transformative therapies for cancer and autoimmune disease. Using its proprietary DECODETM platform—which maps the immune synapse between T cell receptors (TCRs) and their antigen targets—Repertoire translates unique biological insights into potent and targeted off-the shelf immune medicines. The company integrates deep protein engineering expertise with artificial intelligence, powered by a proprietary DECODE database of over one billion TCR-antigen interactions, to accelerate discovery and optimize drug candidates. From its sites in Cambridge, Massachusetts and Zurich, Switzerland, Repertoire is advancing a pipeline of T cell-targeted immunotherapies with the potential to address a broad range of cancers and autoimmune disorders. The company’s lead oncology program, RPTR-1-201, a TCR bispecific, has initiated a Phase 1/2 clinical trial across multiple solid tumor indications. Repertoire plans to advance additional TCR bispecific therapies into clinical trials over the next 12-18 months. In autoimmune disease, Repertoire is partnering with leading pharmaceutical companies to develop mRNA tolerizing therapies designed to selectively expand regulatory T cells and reset the immune system. Repertoire was founded in 2019 by Flagship Pioneering and is supported by a strong investor base. The DECODE platform has been validated through four strategic partnerships with leading pharmaceutical companies—Bristol Myers Squibb, Genentech, Eli Lilly, and Pfizer—representing over $4.5 billion in disclosed total deal value and $185 million in upfront payments received to date.Role OverviewRepertoire Immune Medicines is seeking an Applied Machine Learning Scientist to join the Artificial Immune Intelligence team to enable the discovery of new insights from our extensive and growing immune synapse database. The successful candidate will work at the intersection of applied machine learning, statistics, computational biology, and data science with broad impact across early discovery, candidate development, and biomarker discovery efforts. This position offers a unique opportunity to apply and advance state‑of‑the‑art computational methods—including protein language models, structural modeling, and deep learning—to better understand the immune response and leverage these insights to develop transformational immune medicines. The successful candidate will collaborate closely with experimental, clinical, and computational colleagues to translate computational insights into therapeutic candidates and biomarker strategies.Key Responsibilities • Assist in the conception, development, optimization, and evaluation of machine learning models to better understand the TCR–peptide‑MHC interface., • Develop, evaluate, and implement rigorous analytical models and methods as needed for scientific discovery and development., • Work alongside other machine learning scientists, computer science engineers, wet-lab scientists, and project managers, contributing to early discovery, lead identification, lead optimization, and biomarker development., • Maintain familiarity with current scientific literature to assist in the development and benchmarking of new methods., • Communicate findings both internally and externally via presentations and publication.Qualifications/Experience, • PhD in computational biology, machine learning, engineering, statistics, biostatistics, biomedical engineering, immunology, genetics, cancer biology, or a related quantitative field; or a Master’s degree with 3+ years of relevant industry or academic experience., • Demonstrated ability to deliver impact in cross‑functional, multidisciplinary scientific teams., • Hands‑on experience with protein language models (PLMs), structural modeling, or related ML approaches for biological data., • Familiarity with evaluating and interpreting predicted protein structures, including interface confidence metrics (e.g., pTM, ipTM), and incorporating structural features into machine learning workflows., • Strong programming skills in Python, including experience with scientific and ML libraries such as NumPy, SciPy, pandas, PyTorch, and/or TensorFlow., • Proven ability to analyze and model complex, high‑dimensional biological datasets using sound computational and statistical practices to drive novel insights., • Track record of contributing to scientific publications or equivalent technical outputs (e.g., preprints, conference papers, internal technical reports)., • Intellectual curiosity, scientific rigor, and enthusiasm for working in a fast‑paced, evolving research environment.Preferred Qualifications, • Experience working with TCR-pMHC binding is a strong plus as well as a background in immunology/immuno-oncology., • Practical experience with PLM fine-tuning, embedding extraction, and attention-based interpretation for downstream biological tasks (e.g. binding prediction, fitness landscapes, mutational scanning)., • Experience with structural modeling tools and frameworks, including protein structure prediction (AlphaFold2/3, RoseTTAFold, ESMFold), structure-based design (ProteinMPNN, RFdiffusion), and/or graph neural networks operating on 3D protein coordinates (e.g. GCN, raph Transformers, GVP-GNN). The base salary for this role ranges from $134,000 to $160,000 and is determined based on a candidate’s skills, experience, and internal equity. In addition to a competitive base salary, Repertoire offers a broad range of benefits designed to attract, retain, and motivate top talent, including medical, dental, vision, and life insurance, flexible time off, a 401(k) retirement plan, and short- and long-term incentive opportunities. Compensation and benefits are based on Repertoire’s good faith estimate at the time of publication and may be updated in the future. Repertoire is committed towards social responsibility and developing an inclusive culture. Much as the power of the immune system lies in the diversity of T and B cells, we believe that our work requires the creativity and ingenuity of a diverse workforce, and we are committed to pursuing that in all facets of the work experience at Repertoire. We will continue to educate ourselves about the inequities and barriers present in our society and act as a company where we can make a difference. Repertoire is proud to be an Equal Opportunity Employer. Recruitment & Staffing Agencies: Repertoire Immune Medicines (“Repertoire”) does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Repertoire or its employees is strictly prohibited unless contacted directly by Repertoire’s internal Human Resources team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Repertoire, and Repertoire will not owe any referral or other fees with respect thereto. Powered by JazzHR 3U3hqRVAHD

We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for our Homeowners, Communities, and Associates by building quality homes and providing exceptional customer service, giving back to the communities in which we work and live, and fostering a culture of opportunity and growth for our Associates throughout their career. Lennar has been recognized as a Fortune 500® company and consistently ranked among the top homebuilders in the United States. Join a Company that Empowers you to Build your Future As a Lead Data Scientist at Lennar, you will design, build, and deploy advanced models and AI agents that shape how Lennar prices, sells, and personalizes experiences for customers across 40+ divisions. You’ll work end-to-end—from research and experimentation to production deployment and monitoring—delivering measurable business impact in pricing, sales, operations, and customer engagement. You’ll collaborate across teams, navigate ambiguity, and drive innovation in a rapidly evolving AI ecosystem. As a Lead Data Scientist at Lennar, you will play a key role in developing and operationalizing AI-driven solutions that transform how we price, sell, and personalize experiences for customers across 40+ divisions. You will architect, build, and deploy intelligent systems—including advanced machine learning models and autonomous AI agents—that directly influence business strategy and customer interaction at scale. In this role, you’ll work end-to-end through the full AI development lifecycle: problem framing, research and experimentation, model and agent development, evaluation, production deployment, and continuous monitoring. Your work will drive measurable impact across pricing optimization, sales acceleration, operational efficiency, and customer engagement. You’ll partner closely with cross-functional teams, bring clarity to ambiguous problems, and lead innovation as Lennar evolves its AI capabilities in a fast-moving technology landscape. Your Responsibilities on the Team Design, build, and deploy autonomous AI agents using frameworks like Amazon Bedrock and AgentCore to solve business problems in pricing, sales, operations, and customer interactions. Apply machine vision and feature extraction on home attributes (photos, plans, finishes) to inform premium pricing and personalization strategies. Engineer and maintain data pipelines and systems supporting all models and agents, ensuring scalability and reliability. Integrate agents with enterprise systems and protocols (MCP servers, A2A protocol, internal APIs). Design and run experiments (A/B tests, multi-armed bandits, uplift models) to measure and optimize model and agent performance. Ensure observability and reliability of deployed agents, including logging, evaluation, monitoring, and drift detection. Proactively gather feedback from stakeholders and adapt solutions for adoption and measurable impact. Translate complex data science and statistical concepts into clear recommendations, stories, and visualizations for executives and non-technical audiences. Favor incremental, explainable solutions that deliver quick wins and scale over time. Drive experimentation with new tools and approaches, ensuring robustness, governance, and scalability in production deployments. Share learnings with the broader team to raise the bar on data science and agentic development across the organization. Manage timelines and expectations transparently with both the data science team and business stakeholders. Requirements Bachelor’s or Master’s degree in Statistics, Economics, Math, Computer Science, Data Science, Machine Learning, or related field (or equivalent experience). 5+ years of relevant experience (1+ with PhD, 3+ with MS) as a data scientist, ML engineer, or applied AI developer delivering production-ready models and systems. Strong proficiency in Python and SQL, with experience owning the full data science stack (data pipelines + models + deployment). Hands-on experience with AI development frameworks (LangChain, Strands, Amazon Bedrock, AgentCore, or equivalent). Experience with experimentation frameworks (A/B testing, uplift modeling, multi-armed bandits, causal ML). Exposure to machine vision techniques (CNNs, transfer learning, embeddings) and NLP techniques (embeddings, transformers, prompt engineering). Understanding AI agent observability (evaluation frameworks like LangFuse, RAGAS, Weights & Biases, custom monitoring). Experience with system integrations: APIs, A2A protocol, MCP servers, orchestration pipelines. Comfort working with large-scale, imperfect real-world datasets and making progress despite complexity. Strong engineering skills: ability to design and maintain production pipelines, microservices, and scalable systems. Proven ability to navigate ambiguity, rapidly prototype, and move solutions into production. Collaborative communicator who can align technical solutions with business priorities across diverse stakeholders. Bonus: experience with RAG pipelines, LLM fine-tuning, RLHF, multi-agent orchestration, feature stores, survival analysis/churn modeling, and attribution modeling. Physical & Office/Site Presence Requirements: This is primarily a sedentary office position which requires the incumbent to have the ability to operate computer equipment, speak, hear, bend, stoop, reach, lift, and move and carry up to 25 lbs. Finger dexterity is necessary. This description outlines the basic responsibilities and requirements for the position noted. This is not a comprehensive listing of all job duties of the Associates. Duties, responsibilities and activities may change at any time with or without notice. #LI-GQ1 This information is intended to be a general overview and may be modified by the company due to factors affecting the business. General Overview of Compensation & Benefits: We reasonably expect the base compensation offered for this position to range from an annual salary of $152,600.00 - $190,700, subject to adjustment based on business-related factors such as employee qualifications, geographic pay differentials (e.g., cost of labor/living, etc.), and operational considerations. This position may be eligible for bonuses. This position may be eligible for commissions. This position will be eligible for the described benefits listed in the above section in accordance with Company Policy. This information is intended to be a general overview and may be modified by the Company due to factors affecting the business. Life at Lennar At Lennar, we are committed to fostering a supportive and enriching environment for our Associates, offering a comprehensive array of benefits designed to enhance their well-being and professional growth. Our Associates have access to robust health insurance plans, including Medical, Dental, and Vision coverage, ensuring their health needs are well taken care of. Our 401(k) Retirement Plan, complete with a $1 for $1 Company Match up to 5%, helps secure their financial future, while Paid Parental Leave and an Associate Assistance Plan provide essential support during life's critical moments. To further support our Associates, we provide an Education Assistance Program and up to $30,000 in Adoption Assistance, underscoring our commitment to their diverse needs and aspirations. From the moment of hire, they can enjoy up to three weeks of vacation annually, alongside generous Holiday, Sick Leave, and Personal Day policies. Additionally, we offer a New Hire Referral Bonus Program, significant Home Purchase Discounts, and unique opportunities such as the Everyone’s Included Day. At Lennar, we believe in investing in our Associates, empowering them to thrive both personally and professionally. Lennar Associates will have access to these benefits as outlined by Lennar’s policies and applicable plan terms. Visit Lennartotalrewards.com to view our suite of benefits. Join the fun and follow us on social media to see what's happening at our company, and don't forget to connect with us on Lennar: Overview | LinkedIn for the latest job opportunities. Lennar is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.

Job DescriptionCompany Description At QIMA, we are on a mission to offer our clients smart solutions to make products you can trust. Operating in over 100 countries, we serve the consumer products, food, and life sciences industries and help more than 30,000 brands, retailers, manufacturers, and growers achieve quality excellence. We combine on-the-ground expertise with digital solutions that bring accuracy, transparency and intelligence for quality and compliance data. What sets us apart is our unique culture. Our 8,000 Qimates live and make decisions every day by our QIMA Values. With client passion, integrity, and a commitment to making things simple, we disrupted the Testing, Inspection, and Certification industry. Are you ready to hop on this exciting ride with us and help us achieve our mission? Job Description We are seeking a PhD-level scientist with deep expertise in Immunology, Inflammation, and Immuno-Oncology who is motivated to translate science into impactful client partnerships. This role is designed for a scientifically driven professional who enjoys engaging directly with biotech and pharmaceutical R&D leaders, shaping preclinical strategies, and commercializing advanced discovery and translational platforms. You will act as a scientific ambassador for QIMA Life Sciences, representing and expanding our capabilities in the I&I and IO programs. Success will be driven by scientific credibility, solution design, and the ability to align QIMA’s platforms to client pipelines at the earliest stages of discovery. Do you have the scientific depth to engage as a peer with discovery and translational leaders in Immunology and Immuno-Oncology? Are you comfortable designing integrated preclinical strategies spanning in vitro, ex-vivo and in vivo? Do you enjoy building long-term scientific partnerships and guiding programs from target discovery through preclinical proof-of-concept? If so, this role offers the opportunity to combine scientific leadership with commercial impact in a global life sciences organization. Job responsibilities: Reporting directly to the Head of Pharma, Sales Director for North America region, you'll spearhead our expansion into the vibrant North American market. Your mission? To surpass ambitious sales targets through your expert and systematic approach. Your main responsibilities will be to: • Develop Business Development Strategies, • Generate technical proposals that meet client needs:, • Forge connections: Utilize a variety of effective methods, from strategic cold calling to networking at industry events, to uncover promising leads and nurture fruitful relationships., • Own your success: Develop your own client portfolio, catering to a diverse array of companies involved in importing and exporting consumer goods, spanning from cutting-edge electronics to trendy apparel, furniture and beyond., • Cultivate lasting partnerships: Identify prospective clients, foster meaningful engagement, and skillfully seal the deal, ensuring a seamless transition from lead to loyal customer., • Drive growth: Act as a trusted advisor to our existing clients, championing additional services and maximizing their utilization of our innovative tools, including our intuitive online dashboard., • Clients’ engagement: Foster meaningful interactions and cultivate relationships with clients throughout North America, ensuring seamless collaboration and effective customer support, aligned with our first Company Value: Client Passion.Qualifications, • PhD in Immunology, Inflammation, Cancer Biology, or related discipline., • 2-3 years of Business Development Experience in a directly applicable preclinical (in vitro and in vivo) field., • Hands-on experience with preclinical models relevant to autoimmune disease, inflammation, or cancer immunology., • Ability to translate complex biology into compelling scientific value propositions., • Prior exposure to CROs, biotech partnerships, or scientific consulting strongly preferred., • Native proficiency in English, demonstrating strong communication skills., • Proven track record as a distinguished sales professional adept at prospecting new business opportunities and cultivating a personal client base., • Familiarity with the product testing and inspection sector, coupled with a comprehensive understanding of global trade dynamics., • Exceptional negotiation skills, complemented by the ability to discern social cues and navigate diverse cultural contexts effectively., • Proficient in self-management, capable of autonomously organizing and prioritizing tasks without constant oversight. Salary Range: $110,500 - $117,500 depending on qualifications and experience. (Negotiable) Additional Information All your information will be kept confidential according to EEO guidelines.

You will collaborate with faculty on data methodologies and guide researchers in data science practices.

We're currently looking for individuals across the country to take part in remote paid research, including remote focus groups, product trials, and consumer studies.Earn up to $750 a week in your free time by providing feedback on everyday products and services.If you're comfortable sharing your opi

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s.I further attest that all information I submit in my employment application is true to the

We're currently looking for individuals across the country to take part in remote paid market research, including online focus groups, product trials, and consumer studies.Earn up to $750 a week in your free time by providing feedback on everyday products and services.If you're comfortable sharing y

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Collaborate with and mentor a high performing team of data scientists.

We are seeking a results‑driven Business Analyst and Project Manager with over ten years of experience delivering technology, process, and data‑driven solutions across Wealth Management, Trust Services, Custody Operations, and Investment Accounting.This role is responsible for bridging business

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Adecco Healthcare & Life Sciences.Research Assistant I - Preclinical Imaging (In Vivo / Multimodal Imaging).Fully Onsite | Temp Role | Cambridge, MA.Pay: up to 34/hr depending on relevant qualifications.The Research Assistant I supports preclinical in vivo imaging studies within a multidisciplinary

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Site: The Brigham and Women's Hospital, Inc.Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission.As a not-for-profit, we support patient care, research, teaching, and community

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Research Assistants, physicians, computer scientists, psychologists,.

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The primary responsibility of the Senior Research Assistant will be to assist the Joslin research division with implementation and processing of samples provided by Joslin investigators for transcriptomic, metabolic, and genetic analyses, within the framework of the Molecular Phenotyping and Genotyp