Research fellow jobs in Levittown, NY - 952 jobs

Job Description: the successful candidate is expected to work closely with the Portfolio Manager in all aspects of signal generation and testing, and extract insights from a catalog of alternative datasets (i.e. non price and volume based) to develop systematic macro trading models. The candidate should be able to start July 2024 (or as soon as possible) in the New York office, with a starting salary of $200,000 and an expected 2024 bonus of approximately $300,000. The candidate should be both creative and rigorous in order to detect meaningful patterns from (very) noisy data and avoid overfitting. The candidate should also feel comfortable working in a fast-moving environment and taking responsibilities for designed/developed solutions. Responsibilities Scouting datasets and helping to onboard the ones that can be useful (cleaning, point in time alignment, etc.) Building hypotheses to create a trading signal Formulating tests to validate (or invalidate) these ideas Implementing the trading signal into production if statistically significant Requirements PhD (preferably) or Masters in STEM, computer science or other quantitative discipline Eligibility and willingness to work from New York office No prior knowledge in finance is needed for PhDs Programming skills in Python Adaptable and rigorous Teamwork and communication skills Strongly Advised: Understanding of machine learning algorithms and application to time series Nice to Have: Experience with Linux

The Department of Civil Engineering and Engineering Mechanics at Columbia University is seeking a highly motivated and skilled Postdoctoral Researcher to join our team in Experimental Solid Mechanics . This is an exciting opportunity to contribute to cutting‑edge research aimed at advancing our understanding of material behavior in extreme environments experimentally, in collaboration with the computational mechanics group. The successful candidate will be involved in an experimental effort to investigate the mechanics of materials subjected to dynamic loading. The research will involve the use of advanced experimental techniques, such as digital image correlation, Hopkinson bar, and analytical tools to gain insights into the behavior of materials under various loading conditions. We are looking for a candidate with the following qualifications: Solid Mechanics Background : A strong foundation in the principles of solid mechanics, including material behavior, deformation, and failure. Experimental Techniques : Hands‑on experience with experimental methods and equipment relevant to solid mechanics testing (e.g., mechanical testing systems, strain measurement, high‑speed imaging, digital image correlation). Problem‑Solving and Analytical Skills : Ability to independently identify, troubleshoot, and solve complex experimental and analytical problems. Communication Skills : Strong written and verbal communication skills, able to present research findings to both technical and non‑technical audiences. Collaboration Skills : Proven ability to work effectively in multidisciplinary research teams Preferred Qualifications Ph.D. in Mechanical Engineering, Civil Engineering, Materials Science, or a related field. Demonstrated publication record in relevant areas of research. Experience with custom experimental setup development and instrumentation is a plus. Interested applicants should submit the following documents: A cover letter detailing research experience and interests Curriculum vitae (CV) Contact information for at least two academic references Relevant publications (optional) Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University?s good faith and reasonable estimate of the range of possible compensation at the time of posting. #J-18808-Ljbffr

Biohub is leading the new era of AI-powered biology to cure or prevent disease through its 501c3 medical research organization, with the support of the Chan Zuckerberg Initiative. The Team The Biohub in New York is an independent nonprofit research institute that brings together three powerhouse universities - Columbia University, The Rockefeller University, and Yale University - into a single collaborative technology and discovery engine. Biohub itself supports some of the brightest, boldest engineers, data scientists, and biomedical researchers to investigate the fundamental mechanisms underlying disease and develop new technologies that will lead to actionable diagnostics and effective therapies. We are guided by our values of scholarly excellence; disruptive innovation; hands-on engineering/hacking/building; partnership and collaboration; open communication and respect; inclusiveness; and opportunity for all. Our Vision We pursue large scientific challenges that cannot be pursued in conventional environments We enable individual investigators to pursue their riskiest and most innovative ideas The technologies developed at Biohub facilitate research by scientists and clinicians at our home institutions and beyond Diversity of thought, ideas, and perspectives are at the heart of Biohub and enable disruptive innovation and scholarly excellence. We are committed to cultivating an organization where all colleagues feel inspired and know their work makes an important contribution. The Opportunity Biohub is seeking a skilled and collaborative Research Associate to support the development and operation an Multiomics and Immune Profiling Lab (MIP Lab) at Yale University (in Biohub Yale Annex). Responsibilities include managing human samples, processing PBMCs, and focusing on immunology, flow cytometry, and cell-based assays and technologies. The person will implement functional cell-based and immunological assays, perform cell sorting and flow cytometry analysis in support of large-scale collaborative projects. This position is ideal for someone who is passionate about immunological technologies and cell-based assays and thrives in a team-oriented, high-throughput environment. The mission of Biohub-a collaborative effort between CZI, Yale, Columbia, and Rockefeller Universities-is to harness the human immune system for early disease detection and prevention. We are developing cutting-edge approaches to decode immune cell trafficking and sensing, engineer immune cells, and decipher the disease sensing code of immune cells throughout the body. The MIP Lab will implement and develop cutting-edge immune monitoring, profiling, and engineering technologies to support the mission of the Biohub and its Annex at Yale. The selected candidate will join a dynamic and exciting team and this position will allow the candidate to continue to build and expand their laboratory, scientific, and cross-disciplinary teamwork skills. What You'll Do Maintain and operate cell sorter and spectral flow cytometers. Manage human samples; coordinate sample processing and experimental workflows with collaborating investigators. Design and execute complex spectral flow cytometry experiments, including multi-parameter panel optimization and data acquisition. Set up and optimize in vitro cell stimulation assays and functional immunological readouts. Establish and maintain primary cell culture systems and immortalized cell lines for immunological studies. Develop and implement standardized protocols for cell-based assays, including viability assessment, proliferation assays, and cytokine measurements. PBMC isolation and processing. Perform quality control analysis of flow cytometry and immunological assay data to support experimental troubleshooting. Maintain detailed documentation of protocols, experimental conditions, and results Work closely with other team members to support large-scale profiling and human immune monitoring projects. Contribute to the training and mentoring of junior team members on cell and flow cytometry techniques. Interacts with collaborators/PIs and their lab members to discuss and evaluate results. Interacts with external contacts such as staff at biotechnology and reagent companies to consult on and further develop research methods. Interact with EHS (environment, health, safety) officers to ensure the smooth and safe operation of the laboratory. What You'll Bring Essential - Bachelor's or Master's degree in immunology, cell biology, molecular biology or a related field. Background in immunology with hands-on experience in immunological assays (e.g., ELISA, cytokine measurements, immune cell functional assays.) 1 year of experience with mammalian cell culture, including primary immune cells (e.g., T cells, B cells, monocytes, dendritic cells.) Flow cytometry and cell sorting skills, including panel design, instrument operation, compensation, and data analysis (including using FlowJo.) Experience with in vitro cell stimulation assays and functional readouts. Strong organizational skills and attention to detail in executing multi-step experimental workflows. Excellent communication skills and demonstrated ability to work collaboratively in team-based research environments. Enthusiasm for technology implementation and large-scale project execution and coordination rather than independent hypothesis-driven research. Nice to have - 3+ years of relevant research experience, or PhD in a relevant field with a keen interest in performing hands-on work in team settings. Experience with high-throughput or automated cell culture systems. Familiarity with additional flow cytometry techniques (e.g., imaging flow cytometry.) Knowledge of cell-based screening platforms and plate-based assay formats. Experience working in core facility or technology platform settings. Basic programming skills (Python and/or R) for data processing and visualization. Compensation The New York City, NY base pay range for a new hire in this role is $71,000.00 - $98,000.00. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. Benefits for the Whole You We're thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. Provides a generous employer match on employee 401(k) contributions to support planning for the future. Paid time off to volunteer at an organization of your choice. Funding for select family-forming benefits. Relocation support for employees who need assistance moving If you're interested in a role but your previous experience doesn't perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role. #LI-Hybrid #LI-Onsite

New York or San Francisco Who we are: Our name is inspired by Theodore Roosevelt's ‘Citizenship in a Republic' speech, which pays homage to the ‘(hu)man in the Arena'. To us, entering the Arena means committing oneself fully and accepting the risk of failure in the pursuit of an audacious, worthy cause. We're a close-knit team of scientists and builders redefining the future of hardware engineering. If you share our passion for delving deep into real-world problems and solving them with fully autonomous AI, join us in the Arena. What we do: Our collective future is being built in the physical world, but the builders of tomorrow's technology can no longer rely on yesterday's tools. At Arena, we're building the world's first AI industrial engineer designed to solve the most complex hardware and manufacturing challenges. Our product, Atlas, is built with an understanding of the behavior of physical systems, powered by a superior knowledge of core domains of physics. Paired with its ability to reason about multimodal industrial data, Atlas can test, debug, optimize, and repair physical systems and products in the real world. Arena is already trusted by some of the most advanced industrial companies in the world (AMD, Bausch & Lomb), and we\u2019re rapidly already scaling into the defense, automotive, and aerospace industries, and we're just getting started. About the role: As a Principal Research Scientist, Electromagnetism, you will lead the architecture, training, and validation of our electromagnetic foundation model, bridging numerically solved physics equations, neural operators, and product-grade simulation. How you will contribute: Design FNO/AFNO/Deformation-FNO/U-FNO multiscale operator architectures with embedded physical constraints Implement causality/passivity enforcement and uncertainty calibration Proprietary Training Data Corpora Specify coverage targets Work with Arena's Platform Engineering team to orchestrate solver farms and synthetic generation Work with Arena Electrical Engineers to define a set of requirements and interface for physically-generated training data via hardware-in-the-loop test campaigns Develop sim-to-real calibration using for example VNA/near-field/BER measurements Evaluation & Validation Build automated accuracy and constraint eval suite Own releases and reporting Optimization & Performance Profile inference latency and throughput Leadership & Documentation Author design docs, experiments, and technical reports Qualifications You have: PhD or equivalent research track in Electrical Engineering, Applied Physics, Computer Science, or Applied Math Proven expertise building and training large foundation models Experience with FNO and/or Neural Operators Understanding of EM solvers (FEM/FDTD/MoM) Strong Python, PyTorch/JAX, C/C++ for bindings Proven record of physics-constrained ML or scientific simulation deployment [Preferred] Prior work on passivity/causality enforcement in learned models [Preferred] Familiar with PDN, high-speed channel design, and EMI compliance testing [Preferred] Experience and familiarity with high performance principles (e.g. Slurm for scheduling, message passing workloads, etc.), and cloud service provider HPC ecosystems (e.g. AWS Batch, Elastic Fabric Adapter, etc.) 100% of the monthly premium for Aetna medical insurance, plus vision and dental coverage 401(k) Retirement Plan Unlimited PTO Lunch every day from local restaurants via Sharebite Relocation support provided (NYC or SF) Benefits Salary: The base salary range for this position is $250,000 - $350,000 yr. However, base pay offered may vary depending on job-related knowledge, skills, and experience. In addition to base salary, we also offer competitive equity and benefits packages. Additional benefits: relocation support, health insurance options, and retirement plan offerings as listed above. #J-18808-Ljbffr

The American Museum of Natural History is one of the world's preeminent scientific and cultural institutions, and has as its mission to discover, interpret and disseminate information about human cultures, the natural world and the universe through a wide-ranging program of scientific research, education and exhibition. The Barber Sensory Ecology Lab at the American Museum of Natural History (AMNH) seeks a Postdoctoral Research Associate to 1) analyze and publish existing diverse data sets on the consequences of intense anthropogenic (e.g., noise and light pollution) and natural (e.g., whitewater river noise) sensory environments for birds, bats, and insects; 2) collaborate on experimental design, data collection, and analysis efforts on bat-insect interactions under different light pollution regimes at the Southwestern Research Station in Portal, AZ; and 3) design and implement projects on existing large-scale data sets (including museum specimens) on the effects of sensory pollution on animal distributions. Job responsibilities include, but are not limited to: Analyze data sets and prepare data, code, and related materials for publication. Prepare manuscripts for publication including figure preparation, coauthor communication, and managing manuscripts through the journal submission process. Coordinate and perform new data collection including travel to the southwestern research station in Portal AZ. Mentor other lab members in statistical analysis and manuscript preparation. The expected salary for the Postdoctoral Research Associate is $71,181/annual. The AMNH offers an extensive benefits package designed to meet the needs of our dedicated and diverse community. Pay will be determined based on several factors. The hiring range for the position at commencement is based on the type of work and the scope of responsibilities. The salary and placement offered is based on a number of individualized factors, including, but not limited to, skills, knowledge, training, education, credentials, areas of specialization and depth and scope of experience.

Research Associate Type: Full-Time Salary Range: $60k to 64k/PA base + uncapped monthly bonus Our client a fast-growing global research and consulting firm that connects leading financial institutions, consulting firms, healthcare Firms, and corporations with industry experts to support strategic decision-making. The team specializes in facilitating expert interviews, surveys, and insights across a wide range of industries and markets. Why Join This is an exciting opportunity to kickstart your career in research, business development, and client engagement. As a Research Associate, you'll help top-tier clients-like investment funds and consulting firms-gain insights by identifying and connecting them with subject matter experts across industries. You'll gain exposure to a wide variety of sectors, from eCommerce to energy, healthcare to finance, all while building your business acumen, communication skills, and strategic thinking. Responsibilities: Own end-to-end execution of multiple client research projects simultaneously Analyze client briefs to understand research objectives and key pain points Conduct high-level industry research to identify relevant expert profiles Source, screen, and recruit industry experts (C-suite, senior executives, specialists) Develop screening questions and qualification criteria for expert selection Communicate directly with hedge funds, private equity firms, and consulting clients Negotiate expert consultation rates independently Coordinate scheduling, onboarding, and delivery of expert consultations Manage international and cross-office projects with senior stakeholders Build long-term expert relationships and internal knowledge bases Qualifications Graduated in Spring/Summer 2025 or Dec 2025 with a Bachelor's degree (minimum 3.3 GPA preferred) 6-12 months of work or internship experience in a fast-paced, client-facing or research-oriented environment Excellent verbal and written communication skills Strong research, organizational, and time-management skills Team-oriented with the ability to work independently under tight deadlines Entrepreneurial mindset with a desire to learn and grow Leadership experience through internships, student organizations, or part-time work Fluency in English (other languages are a plus) Comfortable speaking with senior-level professionals and building rapport quickly Ideal Candidate Profile Smart, curious, and commercially minded Comfortable with ambiguity and fast turnaround times Competitive but collaborative Coachable and receptive to feedback Confident, polished, and professional Who Succeeds in This Role? Someone who is curious, solutions-driven, confident, and professional. You'll thrive if you're a natural communicator, quick learner, and team player who enjoys connecting people and solving business problems.

We are seeking an accomplished Senior Credit Researcher to join our investment team and drive high-conviction, alpha-generating ideas in corporate credit markets. This role requires a hybrid skill set: deep fundamental credit expertise coupled with advanced quantitative and analytical capabilities. The successful candidate will combine rigorous company-level research with data-driven insights to uncover opportunities across the credit spectrum. Key Responsibilities: Alpha Generation Conduct fundamental research across corporates and sectors, identifying relative value and mispricings. Develop investment theses supported by both traditional analysis and quantitative validation. Generate actionable recommendations across bonds, tranches, CDX. Research & Analysis Build detailed financial and valuation models, including scenario-based stress testing and capital structure simulations. Apply quantitative techniques (e.g., factor modelling, regression analysis, statistical testing) to enhance investment conviction. Leverage large datasets - including alternative and market microstructure data - to uncover signals and trends. Integrate macroeconomic and micro credit drivers, sector dynamics into both qualitative and quantitative research frameworks. Collaboration & Leadership Partner with PM, traders, and risk management to align research with portfolio construction and risk-adjusted return goals. Collaborate with quantitative researchers and data engineers to refine analytical toolkits. Represent credit research perspectives in firmwide investment discussions. Qualifications: 7-12+ years of experience in fundamental credit research with exposure to quantitative methods; hedge fund or credit-focused buy-side experience preferred. Proven track record of generating profitable investment ideas. Strong foundation in corporate finance, credit valuation, and capital structure analysis. Proficiency in Python, R, or MATLAB for modelling, statistical analysis, and data manipulation. Familiarity with databases, APIs, and data science workflows (SQL, Pandas, NumPy, etc.). Excellent communication skills with the ability to present complex analysis clearly and persuasively. Commercial mindset and disciplined risk awareness. Preferred Experience: Coverage in high-yield, distressed, or special situations credit. Familiarity with quantitative factor models, machine learning applications, or statistical arbitrage concepts applied to credit. Experience with large/alternative datasets (credit card, supply chain, satellite, etc.) and integration into research processes. Advanced degree in a quantitative or financial discipline (CFA, MBA, MSc, PhD) desirable but not essential. What We Offer Competitive compensation structure with performance-based upside. The opportunity to drive research impact at the heart of a high-conviction, performance-driven hedge fund. Access to cutting-edge data, tools, and infrastructure to support research innovation. A collaborative environment that prizes intellectual rigour and creativity.

The Staff Scientist will prepare grant applications and other scientific communication materials on a wide range of genomic research topics. This role is deeply immersed in the science of NYGC and supports our research team in building and expanding a successful, independently-funded research base. They collaborate with diverse teams of students, postdoctoral fellows, and principal investigators, and relates scientific and strategic goals to individual grant opportunities and other research communications vehicles. Typical grants include individual investigator, multi-PI and research center grants. Key Responsibilities Takes a lead role in preparation and project management of individual and multi-investigator proposals; Provides advice on grantsmanship, editorial support and standardized language for administrative sections; Identifies opportunities for funding Manages the scientific writing process, including proposal management, team-building and coordination; establishing timelines and deliverables; Provides draft preparation, review and revision of grants and scientific writing. Coordinates with and supports Sponsored Research staff to ensure timely, accurate application submission. Edits manuscripts, fellowship applications, research progress reports, clinical research protocols and other research communications materials. Interacts with lab members to independently develop new grant proposals. Organizes small group meetings with lab members to review project progress, plan experiments, and integrate team data. Assists in the design and planning of functional genomics and genetic perturbation experiments; and, Assists in analysis and figure preparation of diverse types of data, including high-throughput sequencing, microscopy images, gel images, and schematic diagrams. Key Responsibilities include (but are not limited to): PhD in genetics, genomics, cancer biology, neuroscience or related discipline required; 5+ years research experience, including contributing to grant writing, required. NIH experience strongly desirable; Exceptional written communication skills required to prepare and edit competitive grant applications, publications, administrative materials, and other research communications; Ability to grasp complicated technical subjects, synthesize diverse lines of evidence and apply these abilities to technical writing required; Experience handling the scientific writing and project management process for multi-investigator and institutional grant applications strongly preferred; Experience with standard grant development concepts, practices, and procedures in a research environment preferred; Applied statistics background required, to perform power calculations and develop quantitative metrics for genomic assays; Ability to collaborate with diverse teams of investigators and administrative personnel required; and, Strong project management skills and experience required. Competencies Technical and Professional Skills: Consistently demonstrates skills and knowledge relevant for current role; strives to expand the depth and breadth of technical and professional skills; works with a high level of integrity; exhibits focus and discipline; appropriately prioritizes, manages expectations, and delivers on commitments. Collaborative & Communicative: Models collaboration and teamwork; brings out the best in others; effectively works with all levels, internally and externally; respects and embraces diversity of perspective; communicates clearly and listens carefully; uses good judgment as to what to communicate and when to do so. Adaptable & Innovative: Adaptable and embraces change; develops new insights and pursues improvements and efficiency; fosters exchange of new ideas and willing to challenge the status quo; takes initiative and is solution-oriented; engages in work with passion and curiosity. Salary The salary range for this position is $62,000-78,000 per year. Base pay offered may vary depending on job-related knowledge, skills, and experience. In addition, NYGC offers a full range of medical, financial, and other benefits as well as generous time off. About the New York Genome Center The New York Genome Center (NYGC) is an independent, nonprofit, academic research organization dedicated to advancing genomic research. NYGC scientists and staff are furthering new approaches to diagnosing and treating neurological diseases and cancer through their unique capabilities in whole genome sequencing, RNA sequencing, state-of-the art analytics, and the development of genomic tools. NYGC concentrates specifically on disease-based research in the following areas: neuropsychiatric disease (autism, schizophrenia, bipolar); neurodegenerative disease (ALS, Alzheimer's, Parkinson's, Huntington's), and cancer. Located in Lower Manhattan, the New York Genome Center was founded by and remains closely affiliated with the leading academic medical centers and research universities in the New York region, engaging in research projects with and for these institutions. Essential to our collaborative work is an outstanding faculty, whose members typically hold a joint appointment at NYGC and a partner university. They support our scientific mission by conducting independent research in areas of mutual interest to us and the wider scientific community. Equal Opportunity We are committed to fostering a workplace environment that is welcoming and fair to all, ensuring that every employee has the opportunity to thrive. We believe that bringing together individuals with diverse backgrounds, experiences, and perspectives leads to greater collaboration, innovation, and discovery. Valuing and supporting each employee in reaching their full potential strengthens our organization and enhances our collective success. We recognize that creating an environment where all employees feel valued and included requires sustained effort and dedication from the entire organization. The New York Genome Center is a VEVRAA Federal Contractor. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, creed, color, gender, religion, national origin, sexual orientation, age, disability, genetic predisposition or carrier status, protected veteran or military status, domestic violence victim status, partnership status, caregiver status, alienage or citizenship status, marital status, or any other characteristic protected by applicable law. NYGC takes affirmative action in support of its policy to hire and advance in employment individuals who are protected veterans and individuals with disabilities. FLSA Status - Exempt This position is eligible for visa sponsorship and relocation assistance.

Your work will change lives. Including your own. The Impact You'll Make As a key member of Recursion's partnership-facing data science team, you will be at the forefront of reimagining drug discovery from first principles using Recursion's massive data and compute capabilities. As senior computational biologist, you will be supporting a portfolio of partnership preclinical drug programs and be responsible for designing and executing analyses to support target nomination, validation, and early programs in neuroscience diseases. You will integrate layers of Recursion platform data (phenomics, transcriptomics, proteomics, etc) to validate the link between target and disease biology and to propose targets and early programs in novel areas of neuroscience. You will partner with biologists and medicinal chemists to build supporting data packets for targets from our phenomic maps, target screens, and partnered patient data sets. You will also collaborate with computational scientists from across the organization to develop, deploy, and scale novel approaches to: 1) translational validation in hit to lead, 2) mechanism-of-action identification/de-risking, and 3) build evidence for patient connectivity to match the targets we are validating and medicines we are creating to the patients who need them. In this role, you will: * Deliver biological insights on therapeutic candidates and disease biology from the analysis of high-dimensional (phenomics, transcriptomics, proteomics, patient-derived) datasets that support clinical development planning * Evaluate the biological and molecular evidence for therapeutic hypotheses and accelerate drug program progression into the clinic * Synthesize diverse datasets (internal and external) to generate and evaluate hypotheses for drug discovery, biomarker development, mechanism of action and target population identification * Present data analysis to decision makers and stakeholders in a clear and compelling way that drives toward getting medicines to patients * Assess new data sources, develop and scale new analysis methods, and support key program decisions with the ultimate goal of bringing life-changing therapies to patients at unprecedented speed * Industrialize analysis approaches to not only solve for the current project, but also to accelerate future projects and scale the impact that we can have * Collaborate cross-functionally with Recursion's data science, biology, medicinal chemistry, and platform, teams to further advance Recursion's ability to interpret and translate large-scale data assets into therapeutic programs The Team You'll Join Our group is a bold, agile, diverse collective of computational drug discovery scientists and data scientists deeply focused on the singular goal of bringing new therapeutics into the clinic at an accelerated pace. We are a computational group that spans precision oncology, neuroscience, and I&I (immunology and inflammation), and focuses on advancing novel, targeted therapies for these disease areas. We partner closely with our biologists and medicinal chemists to design and execute impactful and decisional data analysis for multiple programs. We are responsible for data strategy across the portfolio and supported by computational leadership in designing scalable and reproducible experiments that serve to advance multiple programs within the portfolio. Our team collaborates extensively with computational biologists in other therapeutic areas (immunology, oncology, etc.) as well as data scientists and engineers from our core platform teams to provide a strong network of feedback and support. The Experience You'll Need * PhD in a relevant field (computational biology, systems biology, bioinformatics, neuroscience, etc.) with a very strong computational focus and 5+ years of experience in biotech or pharma industry OR MS in a relevant field * Experience applying computational methods (including probabilistic, statistical, and/or machine learning techniques) to analyze and integrate matched human clinical and molecular data in a high-level programming language such as Python or R * Deep expertise in the analysis and data integration of one or more 'omics data modalities (phenomics, transcriptomics, proteomics, genomics) and/or human clinical data * Exceptional data visualization skills * Excellent cross-functional communication skills, including an ability to explain complex scientific concepts to a variety of audiences using a combination of plots, documents, and presentations Nice To Have: * Strong understanding of patient genetics and historical druggability of disease-relevant pathways, including experience working with patient data * Experience in efficiently advancing drug programs from proof of concept and into clinical development * Experience with neuroscience clinical trial biomarker analysis * Experience working as part of partnerships or client facing (consulting) teams Working Location & Compensation: This is an office-based, hybrid role in either our Salt Lake City or New York City offices. Employees are expected to work in the office at least 50% of the time. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is $200,600 to $238,400. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. #LI-EP1 The Values We Hope You Share: * We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. * We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. * We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. * We move with urgency because patients are waiting. Speed isn't about rushing but about moving the needle every day. * We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy-leaders take accountability for decisive action, and teams own outcomes together. * We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in Toronto, Montréal, New York, London, Oxford area, and the San Francisco Bay area. Learn more at ****************** or connect on X (formerly Twitter) and LinkedIn. Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.

Responsibilities: Conducting proprietary research evaluating drug pipelines by analyzing scientific literature, attending medical conferences, and speaking with key opinion leaders Building and maintaining financial models Writing research reports for initiations of coverage, analysis of data, and industry/company news Conceiving and executing on differentiated project ideas Interfacing with company management teams, internal sales and trading personnel, and institutional investors Qualifications: Advanced degree (PhD/MD) in life sciences preferred, though not required; a strong academic track record is essential. Proficiency in written/verbal communication 1+ year's experience in biopharmaceuticals equity research Experience building financial models using excel a required on-the-job skill; prior experience is a plus Motivated, hard-working, team player Primary Location Full Time Salary Range of $135,000 - $165,000.

Apply/Register Job no: 498498 Work type: Faculty Full-time Department: Katz School The Katz School is seeking a highly organized and adaptable Clinical Assistant/Associate Professor of Occupational Therapy and Director of Scholarship and Research. This position will report to the Occupational Therapy Program Director. The Director of Scholarship and Research advances the university's mission, purpose, and goals by providing program-specific expertise and leadership in scholarship, research, and innovation. This role fosters a culture of academic integrity, supports accreditation and licensure compliance, and ensures that graduate outcomes meet professional, academic, workplace, and placement expectations. As an educator, role model, mentor, and facilitator, the Director focuses on doctoral-level scholarship and culminating projects, working closely with the Doctoral Capstone Coordinator to assist students in developing, refining, and enacting scholarly projects that uphold academic rigor and professional relevance. The Director also builds relationships with external research partners and nurtures professional collaboration within and beyond the university. In addition to these responsibilities, the Director actively supports department initiatives, ensuring internal consistency and alignment with programmatic accreditation standards. The position is integral in facilitating student learning within prescribed research courses, creating an educational environment that fosters innovation, responsiveness, and accountability. The Director actively participates in the assessment of student research projects, helping to ensure that students meet prescribed scholarly outcomes. The Director serves as a liaison between the occupational therapy program and potential research partners, while promoting the ongoing development of professional collaboration and scholarship across the curriculum. Position Responsibilities: INSTRUCTIONAL RESPONSIBILITIES: * Fulfills assigned teaching load * Participates in and contributes to assessment activities of courses/curriculum and program via a continuous improvement plan as set forth by the University * Demonstrates enthusiasm for teaching and the teaching/learning process, and for individual students * Facilitates student learning in accordance with prescribed course and program learning outcomes * Regularly contributes to the improvement or upgrading of class materials and syllabi * Follows established protocols for providing timely feedback, academic advising, and assessment of student learning * Keeps regular approved office hours (for FT faculty) * Mentors students and faculty as assigned by the department/program dean/chair * Explores scholarly research to improve teaching and instruction * Begins to explore cross-disciplinary approaches to instruction SCHOLARLY ACTIVITIES: * Attends professional development activities each year, as agreed upon with supervisor in associate development plan * Selects a minimum of one of the following activity areas: publishing & writing, acting as a contributor to textbooks, presenting at conferences or educational trainings, attending test-writing or accreditation activities, serving on thesis dissertation committee, or other agreed-upon professional activity OR * Identifies and applies specialized research or activities related to teaching, assigned teaching area(s), or may contribute to the scholarly community/knowledge of the discipline PROFESSIONAL GROWTH AND SERVICE: * Develops connections within the professional community, both inside and outside the University/Occupational Therapy program * Assists with assessment, critique, and evaluation of the overall Occupational Therapy curriculum and may lead the process of revisions to the program and syllabi (if necessary) while ensuring quality * Contributes/demonstrates ongoing service in at least one of the following areas: * Community or Public Service * Profession (member of professional organization) * University/Occupational Therapy program PROGRAM SPECIFIC: * Scholarship Agenda: Develop, implement, and oversee the OT department scholarship agenda and scholarship plan; revise and update when required * Grants: Identify and apply for grants appropriate to the OT department scholarship agenda; partner with others within Katz school, and colleagues in the greater community for grant applications; and train/assist OT faculty to identify and apply for grants appropriate to the OT department scholarship agenda * Publications: Assist and mentor OT faculty in the dissemination of their scholarship, including presentations at conferences, publications in appropriate peer-reviewed journals, books, and chapters * Curriculum: Integrate research and scholarship within the OT program curriculum; assess curriculum and program outcomes * Faculty: Assist and mentor faculty in developing and pursuing scholarship, including integration of research and scholarship throughout the curriculum, training and supervision of research projects, and training on grants * Students: Train and mentor students in developing and pursuing scholarship, including research projects, grants, and dissemination of research * Perform other duties as assigned Experience & Educational Background: EDUCATION: * Must hold a research doctorate (PhD, ScD, DrPH, or OTD with a research focus) from an accredited university with experience in curriculum development, research, and supervision of graduate projects * Must have demonstrated ongoing scholarly achievement, research expertise, and ability to secure research funding EXPERIENCE: * Teaching experience preferred. Instructional experience must be at institutions that are Title IV funding eligible * Minimum of two years supervising or mentoring student research or scholarship projects at a minimum of a master's level LICENSES/CERTIFICATIONS: * Candidates who are Occupational Therapy Practitioners must be certified by the National Board for Certification in Occupational Therapy (NBCOT) as a Registered Occupational Therapist (OTR) and must hold a current New York State license (or be eligible for licensure) * All other candidates must hold a valid professional license or meet any regulatory requirements applicable to their profession * Must meet and maintain the qualifications and standards set forth by any accreditation body that Yeshiva University is accredited by or in the process of obtaining accreditation from, for the area of expertise and expectations of the faculty member, as set forth in regulatory documents and any professional certifications deemed necessary to meet the requirements of the teaching role * Experience with online learning management systems to further engage the student learning process is desirable Skills & Competencies: Required Skills * Knowledge of state, federal, and local laws/regulations relating to programs, governmental compliance, and other regulatory standards * Ability to maintain academic standards * Ability to work independently with general supervision * Ability to demonstrate a thorough, accurate, and practical knowledge of their field or discipline * Ability to interpret and evaluate the theories of their field or discipline * Ability to effectively operate related equipment and machines for instructional purposes * Ability to manage and work effectively in a highly ethnic and culturally diverse student and associate community * Ability to use effective communication skills, both oral and written, including presentations, and effective listening skills * Ability to use creative facilitation and conflict resolution skills to resolve difficult and sensitive issues * Working knowledge of Statistical Software, Microsoft Office Suite Products, especially Outlook, Word, PowerPoint, Excel, Teams, and other MS Office products as needed Application Instructions: Please upload a cover letter, CV, and a list of three (3) references Salary Range: $110,000 - $110,000 About Us: ABOUT THE KATZ SCHOOL: The Katz School of Science and Health, with 1300 master's and doctoral students, is now the largest graduate school at Yeshiva University. Located in the heart of New York City, Yeshiva University is a US News and World Report Top 100 University. We are research scientists, tech builders, entrepreneurs, and patient-centered clinicians working on problems that matter. We focus on industry sectors that are central to the modern economy: Artificial Intelligence, Biotechnology, Computer Science, Cybersecurity, Data Analytics, Digital Media, and Fintech, as well as Physician Assistant Studies, Nursing, Occupational Therapy, and Speech-Language Pathology. Katz School faculty take an interdisciplinary approach to research and education, fostering the creativity, collaborative thinking, and builder mindset required to take on today's toughest problems. Over the last five years, we have launched ten master's and doctoral programs with 92% graduation rates, 100% licensure pass rates, 95% post-graduation employment in high-paying careers, and students and alumni from over 30 countries. The Katz School is a close-knit community with a big network, nestled in the heart of a big city. We are global in reach, with faculty and students from across the United States and around the world-and also deeply embedded in New York City's rich professional and social fabric. With a vibrant campus life and city at our fingertips, the Katz School is where bold, purpose-driven people come to create, connect, and explore. Read about projects at Katz. ABOUT YESHIVA UNIVERSITY: The mission of Yeshiva University - the world's flagship Jewish university - is to educate, empower, and inspire our students to become the next generation of leaders, guided at all times by our core values. We do this through a transformative, world-class, and interdisciplinary education that is deep and broad and that cultivates in our students a sense of meaning, purpose, and drive to make the world a better place - for themselves and for future generations. Equal Employment Opportunity: Yeshiva University is an equal opportunity employer committed to providing employment opportunities to all employees and candidates without regard to race, color, age, sex, national origin, disability status, or any other characteristic protected by federal, state, or local laws.

Kick‑start your career in healthcare research Are you looking for a role where you can make a real impact, learn from industry experts, and grow faster than you thought possible? If you're a recent graduate passionate about healthcare, people, and problem‑solving, this could be the perfect next step for you. At HRW, we help leading healthcare and pharmaceutical organizations understand real human behavior so they can make better decisions that improve patient lives. You'll join a team that's curious, collaborative and genuinely passionate about what we do. A career that grows with you We know that starting your first full‑time role is a big moment - and we're committed to giving you all the tools, training and support you need to succeed. As part of our Graduate Academy, you'll receive: Extensive structured training from day one Hands‑on learning across real client projects Mentorship and coaching from experienced researchers Clear progression paths designed around your strengths Regular feedback and development sessions Opportunities to work across multiple therapy areas and methodologies Your development is a priority for us. You won't just learn what to do, you'll learn why it matters and how to grow your skills into a long‑term, meaningful career. What the role involves As a Trainee Research Executive, you'll be involved in every stage of the research journey, including: Designing research studies Creating questionnaires and discussion guides Planning fieldwork and coordinating logistics Analyzing data and uncovering insights Helping build engaging, story‑driven client presentations You'll also have the chance to travel, whether that's visiting other offices, observing fieldwork or attending client meetings. We'll support you as your confidence grows, giving you more responsibility at a pace that feels right for you. Some important details: No visa sponsorship is available Starting salary: $60,000 This is a full‑time, permanent role based in Manhattan, NYC Hybrid working: minimum 2 days a week in the office (more during training) Check out our instagram to find out what we've been up to @hrwhealthcare Requirements Who we're looking for We want graduates who are motivated by learning and excited about the healthcare space. You might be a great fit if you're: Curious and analytical Adaptable and open to learning Highly organized A strong communicator A collaborative team player Detail‑oriented You don't need a specific major - life sciences are welcome, but we're open to all academic backgrounds. Our Graduate Academy is expected to begin on 7th September 2026, though earlier start dates are possible. Benefits Benefits you'll enjoy We believe people do their best work when they feel supported and valued. Here's what you can expect: 4pm finishes on Fridays Flexible working hours and the ability to work from home (based on business needs) Competitive PTO Mentoring scheme Rest‑time programme to support travel and long working days Volunteer days Regular team off‑sites, socials and training days Social events, breakfasts, lunches and team activities Access to a discount platform Your birthday off

Joseph M. Sanzari Children's Hospital Hackensack University Medical Center Hackensack, New Jersey Hackensack Meridian Health (HMH) is seeking board certified / board eligible geneticists to join our multidisciplinary team in Hackensack, New Jersey, at the Joseph M. Sanzari Children's Hospital, ranked the #1 Children's Hospital in New Jersey. Our program is one of the largest and most advanced of its kind in the state. Our team of board certified geneticists and licensed genetic counselors sees patients of all ages, providing support and education throughout multiple HMH network hospitals. HMH serves as a referral screening center for the NJ newborn screening program and offers a comprehensive metabolic program. HIGHLIGHTS: * Join a dynamic network of experienced physicians, genetic counselors, dietitian, and support staff who foster a culture of collaboration and mentorship with strong clinical support * Collaborate with a network of specialists throughout the state of New Jersey * Be part of the #1 Children's Hospital in New Jersey * Eligibility for faculty appointment to the Hackensack Meridian School of Medicine * Opportunity to conduct clinical research * Monday through Friday, schedule, with call split evenly across providers REQUIREMENTS: * D./D.O. degree from a recognized Medical or Osteopathic School * BC/BE in appropriate specialty board * Have or the ability to obtain a New Jersey Medical License HMH is committed to pay equity and transparency for our team members. The minimum base salary for this position is $196,977. The posted rate of pay in this job posting is a reasonable good-faith estimate of the minimum base pay for this role at the time of posting in accordance with the New Jersey Pay Transparency Act and does not reflect the full value of our market-competitive total rewards package. The starting base salary is provided for informational purposes only and is not a guarantee of a specific offer. The base compensation determined at the time of the offer may be different than the posted base salary based on a number of non-discriminatory factors, including but not limited to: Specialization : Area of specialization and sub-specialization. Labor Market Data : Compensation is benchmarked against market data to ensure competitiveness. Experience : Years of relevant experience in the areas of specialization and sub-specialization. Leadership : Relevant experience as a department chair or chief, practice group leader, or other leadership roles. Education and Certifications : Degrees attained, residencies, fellowships, board certifications, research, and publications. Productivity : Levels of productivity, quality and patient satisfaction. Skills : Demonstrated proficiency in relevant skills and competencies. Geographic Location: Cost of living and market rates for the specific location. Internal Equity: Compensation is determined in a manner consistent with compensation ranges for similar roles within the specialty and/or sub-specialty. Budget and Grant Funding: Departmental budgets and any grant funding associated with the job position may impact the pay that can be offered. In addition to our compensation for full-time and part-time (20+ hours/week) positions, HMH offers a comprehensive benefits package, including health, dental, vision, tuition reimbursement, and retirement benefits. The final compensation and benefits package will be discussed during the interview process. Submit Cover Letter and CV for immediate consideration to: Nancy Massa Physician Recruiter Email : Nancy.Massa@hmhn.org Phone : 732-890-9339 ","@type":"JobPosting","responsibilities":" ","valid Through":"2026-03-30T00:00:00-04:00","title":"Geneticist","date Posted":"2025-12-29T15:11:25-05:00"} Return to Search Results Expand Show Other Jobs Job Saved Save Job Geneticist Hackensack Meridian Health APPLY NOW Application First Name Last Name Email address Message To Employer (required) Please attach your resume and up to two additional documents. Files must be 2MB or less and acceptable file types. Add File Captcha / Bot check: Copy from here ...to here Click to hear these letters. What is this? The application opened in a new tab. You may close this popup. By using this feature you agree to our Terms and Conditions and Privacy Policy. Details Posted: 29-Dec-25 Location: Hackensack, New Jersey Type: Full Time Salary: Minimum Salary: $196977 Years of Experience: Less than 2 Preferred Education: Doctorate Internal Number: Geneticist Geneticist Joseph M. Sanzari Children's Hospital Hackensack University Medical Center Hackensack, New Jersey Hackensack Meridian Health (HMH) is seeking board certified / board eligible geneticists to join our multidisciplinary team in Hackensack, New Jersey, at the Joseph M. Sanzari Children's Hospital, ranked the #1 Children's Hospital in New Jersey. Our program is one of the largest and most advanced of its kind in the state. Our team of board certified geneticists and licensed genetic counselors sees patients of all ages, providing support and education throughout multiple HMH network hospitals. HMH serves as a referral screening center for the NJ newborn screening program and offers a comprehensive metabolic program. HIGHLIGHTS: * Join a dynamic network of experienced physicians, genetic counselors, dietitian, and support staff who foster a culture of collaboration and mentorship with strong clinical support * Collaborate with a network of specialists throughout the state of New Jersey * Be part of the #1 Children's Hospital in New Jersey * Eligibility for faculty appointment to the Hackensack Meridian School of Medicine * Opportunity to conduct clinical research * Monday through Friday, schedule, with call split evenly across providers REQUIREMENTS: * D./D.O. degree from a recognized Medical or Osteopathic School * BC/BE in appropriate specialty board * Have or the ability to obtain a New Jersey Medical License HMH is committed to pay equity and transparency for our team members. The minimum base salary for this position is $196,977. The posted rate of pay in this job posting is a reasonable good-faith estimate of the minimum base pay for this role at the time of posting in accordance with the New Jersey Pay Transparency Act and does not reflect the full value of our market-competitive total rewards package. The starting base salary is provided for informational purposes only and is not a guarantee of a specific offer. The base compensation determined at the time of the offer may be different than the posted base salary based on a number of non-discriminatory factors, including but not limited to: Specialization: Area of specialization and sub-specialization. Labor Market Data: Compensation is benchmarked against market data to ensure competitiveness. Experience: Years of relevant experience in the areas of specialization and sub-specialization. Leadership: Relevant experience as a department chair or chief, practice group leader, or other leadership roles. Education and Certifications: Degrees attained, residencies, fellowships, board certifications, research, and publications. Productivity: Levels of productivity, quality and patient satisfaction. Skills: Demonstrated proficiency in relevant skills and competencies. Geographic Location: Cost of living and market rates for the specific location. Internal Equity: Compensation is determined in a manner consistent with compensation ranges for similar roles within the specialty and/or sub-specialty. Budget and Grant Funding: Departmental budgets and any grant funding associated with the job position may impact the pay that can be offered. In addition to our compensation for full-time and part-time (20+ hours/week) positions, HMH offers a comprehensive benefits package, including health, dental, vision, tuition reimbursement, and retirement benefits. The final compensation and benefits package will be discussed during the interview process. Submit Cover Letter and CV for immediate consideration to: Nancy Massa Physician Recruiter Email: Nancy.Massa@hmhn.org Phone: 732-890-9339

A leading educational institution in New York is seeking a highly motivated Postdoctoral Researcher to contribute to advanced research in Experimental Solid Mechanics. The successful candidate will investigate material behavior under dynamic loading conditions and utilize advanced experimental techniques. A Ph.D. in relevant fields is preferred, along with strong problem-solving and communication skills. This role offers an exciting opportunity for collaboration in multidisciplinary teams. #J-18808-Ljbffr

Your work will change lives. Including your own. The Impact You'll Make As a key member of Recursion's partnership-facing data science team, you will be at the forefront of reimagining drug discovery from first principles using Recursion's massive data and compute capabilities. As senior computational biologist, you will be supporting partnership portfolio of preclinical drug programs and be responsible for designing and executing analyses to support target nomination, validation, and early programs in immunology and inflammation (I&I) diseases, translationally validates disease contexts in hit-to-lead, and accelerates in vivo work in lead optimization. You will integrate layers of Recursion platform data (phenomics, transcriptomics, proteomics, etc) to validate the link between target and disease biology and to propose targets and early programs in novel areas of immunology and inflammation. You will partner with biologists and medicinal chemists to build supporting data packets for targets from our phenomic maps, target screens, and partnered patient data sets. You will also collaborate with computational scientists from across the organization to develop, deploy, and scale novel approaches to: 1) translational validation in hit to lead, 2) mechanism-of-action identification/de-risking , and 3) build evidence for patient connectivity to match the medicines we are creating to the patients who need them. In this role, you will: * Deliver biological insights on therapeutic candidates and disease biology from the analysis of high-dimensional (phenomics, transcriptomics, proteomics, patient-derived) datasets that support clinical development planning * Evaluate the molecular evidence for therapeutic hypotheses and accelerate drug program progression into the clinic * Present data analysis to decision makers and stakeholders in a clear and compelling way that drives toward getting medicines to patients * Assess new data sources, develop and scale new analysis methods, and support key program decisions with the ultimate goal of bringing life-changing therapies to patients at unprecedented speed * Industrialize analysis approaches to not only solve for the current project, but also to accelerate future projects and scale the impact that we can have * Collaborate cross-functionally with Recursion's data science, biology, medicinal chemistry, and platform, teams to further advance Recursion's ability to interpret and translate large-scale data assets into therapeutic programs The Team You'll Join Our group is a bold, agile, diverse collective of computational drug discovery scientists deeply focused on the singular goal of bringing new therapeutics into the clinic at an accelerated pace. We are a computational group that spans precision oncology, I&I (immunology and inflammation), and neuroscience and focuses on advancing novel, targeted therapies for these disease areas. We partner closely with our biologists and medicinal chemists to design and execute impactful and decisional data analysis for multiple programs. We are responsible for data strategy across the portfolio and supported by computational leadership in designing scalable and reproducible experiments that serve to advance multiple programs within the portfolio. Our team collaborates extensively with computational biologists in other therapeutic areas (neurobiology, oncology, etc.) as well as data scientists and engineers from our core platform teams to provide a strong network of feedback and support. The Experience You'll Need * PhD in a relevant field (computational biology, systems biology, bioinformatics, immunology/inflammation biology, immuno-oncology, etc.) with a very strong computational focus and 3+ years of experience in biotech or pharma industry OR MS in a relevant field and 5+ years of experience in biotech or pharma industry solving fundamental problems in immunology or drug discovery * Experience with one or more immunology or inflammation disease areas; * Experience applying computational methods (including probabilistic, statistical, and/or machine learning techniques) to analyze and integrate matched human clinical and molecular data in a high-level programming language such as Python or R * Deep expertise in the analysis and data integration of one or more 'omics data modalities (phenomics, transcriptomics, proteomics, genomics),Exceptional data visualization skills * Excellent cross-functional communication skills, including an ability to explain complex scientific concepts to a variety of audiences using a combination of plots, documents, and presentations Nice To Have: * Strong understanding of patient genetics and historical druggability of disease-relevant pathways, including experience working with patient data * Experience in efficiently advancing drug programs from proof of concept and into clinical development * Experience with immunology and inflammation clinical trial biomarker analysis Working Location & Compensation: This is an office-based, hybrid role in either our Salt Lake City, UT or New York City, NY offices. Employees are expected to work in the office at least 50% of the time. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is $151,800 to $216,300 (USD). You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. #LI-EP1 The Values We Hope You Share: * We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. * We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. * We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. * We move with urgency because patients are waiting. Speed isn't about rushing but about moving the needle every day. * We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy-leaders take accountability for decisive action, and teams own outcomes together. * We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in Toronto, Montréal, New York, London, Oxford area, and the San Francisco Bay area. Learn more at ****************** or connect on X (formerly Twitter) and LinkedIn. Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.

Jefferies is seeking an associate for its Software Equity Research team. The candidate will support the senior analyst in delivering extensive company and industry research, constructing detailed company and industry models, and marketing written research recommendations to clients and institutional salespeople. Responsibilities will include: Creation and maintenance of detailed company and industry models Producing in-depth written research on individual companies and sector-wide trends Development of relationships with industry contacts and company management teams Communication of stock views and industry themes to institutional investors, salespeople, and other internal constituencies within Jefferies Key qualifications: Highly detail-oriented, intellectually curious, and willing to work long hours (and the occasional Sunday) Passion for stocks, the market, and analyzing businesses Excellent written communication skills Self-motivated problem-solver Fluency in accounting and financial statement analysis At least two years of equity research experience, Software preferred Securities licensing a plus (Series 7/63 and 86/87) Primary Location Full Time Salary Range of $100,000 - $120,000.

The Katz School is seeking a highly organized and adaptable Clinical Assistant/Associate Professor of Occupational Therapy and Director of Scholarship and Research. This position will report to the Occupational Therapy Program Director. The Director of Scholarship and Research advances the university's mission, purpose, and goals by providing program-specific expertise and leadership in scholarship, research, and innovation. This role fosters a culture of academic integrity, supports accreditation and licensure compliance, and ensures that graduate outcomes meet professional, academic, workplace, and placement expectations. As an educator, role model, mentor, and facilitator, the Director focuses on doctoral-level scholarship and culminating projects, working closely with the Doctoral Capstone Coordinator to assist students in developing, refining, and enacting scholarly projects that uphold academic rigor and professional relevance. The Director also builds relationships with external research partners and nurtures professional collaboration within and beyond the university. In addition to these responsibilities, the Director actively supports department initiatives, ensuring internal consistency and alignment with programmatic accreditation standards. The position is integral in facilitating student learning within prescribed research courses, creating an educational environment that fosters innovation, responsiveness, and accountability. The Director actively participates in the assessment of student research projects, helping to ensure that students meet prescribed scholarly outcomes. The Director serves as a liaison between the occupational therapy program and potential research partners, while promoting the ongoing development of professional collaboration and scholarship across the curriculum. Position Responsibilities: INSTRUCTIONAL RESPONSIBILITIES: Fulfills assigned teaching load Participates in and contributes to assessment activities of courses/curriculum and program via a continuous improvement plan as set forth by the University Demonstrates enthusiasm for teaching and the teaching/learning process, and for individual students Facilitates student learning in accordance with prescribed course and program learning outcomes Regularly contributes to the improvement or upgrading of class materials and syllabi Follows established protocols for providing timely feedback, academic advising, and assessment of student learning Keeps regular approved office hours (for FT faculty) Mentors students and faculty as assigned by the department/program dean/chair Explores scholarly research to improve teaching and instruction Begins to explore cross-disciplinary approaches to instruction SCHOLARLY ACTIVITIES: Attends professional development activities each year, as agreed upon with supervisor in associate development plan Selects a minimum of one of the following activity areas: publishing & writing, acting as a contributor to textbooks, presenting at conferences or educational trainings, attending test-writing or accreditation activities, serving on thesis dissertation committee, or other agreed-upon professional activity OR Identifies and applies specialized research or activities related to teaching, assigned teaching area(s), or may contribute to the scholarly community/knowledge of the discipline PROFESSIONAL GROWTH AND SERVICE: Develops connections within the professional community, both inside and outside the University/Occupational Therapy program Assists with assessment, critique, and evaluation of the overall Occupational Therapy curriculum and may lead the process of revisions to the program and syllabi (if necessary) while ensuring quality Contributes/demonstrates ongoing service in at least one of the following areas: Community or Public Service Profession (member of professional organization) University/Occupational Therapy program PROGRAM SPECIFIC: Scholarship Agenda: Develop, implement, and oversee the OT department scholarship agenda and scholarship plan; revise and update when required Grants: Identify and apply for grants appropriate to the OT department scholarship agenda; partner with others within Katz school, and colleagues in the greater community for grant applications; and train/assist OT faculty to identify and apply for grants appropriate to the OT department scholarship agenda Publications: Assist and mentor OT faculty in the dissemination of their scholarship, including presentations at conferences, publications in appropriate peer-reviewed journals, books, and chapters Curriculum: Integrate research and scholarship within the OT program curriculum; assess curriculum and program outcomes Faculty: Assist and mentor faculty in developing and pursuing scholarship, including integration of research and scholarship throughout the curriculum, training and supervision of research projects, and training on grants Students: Train and mentor students in developing and pursuing scholarship, including research projects, grants, and dissemination of research Perform other duties as assigned Experience & Educational Background: EDUCATION: Must hold a research doctorate (PhD, ScD, DrPH, or OTD with a research focus) from an accredited university with experience in curriculum development, research, and supervision of graduate projects Must have demonstrated ongoing scholarly achievement, research expertise, and ability to secure research funding EXPERIENCE: Teaching experience preferred. Instructional experience must be at institutions that are Title IV funding eligible Minimum of two years supervising or mentoring student research or scholarship projects at a minimum of a master's level LICENSES/CERTIFICATIONS: Candidates who are Occupational Therapy Practitioners must be certified by the National Board for Certification in Occupational Therapy (NBCOT) as a Registered Occupational Therapist (OTR) and must hold a current New York State license (or be eligible for licensure) All other candidates must hold a valid professional license or meet any regulatory requirements applicable to their profession Must meet and maintain the qualifications and standards set forth by any accreditation body that Yeshiva University is accredited by or in the process of obtaining accreditation from, for the area of expertise and expectations of the faculty member, as set forth in regulatory documents and any professional certifications deemed necessary to meet the requirements of the teaching role Experience with online learning management systems to further engage the student learning process is desirable Skills & Competencies: Required Skills Knowledge of state, federal, and local laws/regulations relating to programs, governmental compliance, and other regulatory standards Ability to maintain academic standards Ability to work independently with general supervision Ability to demonstrate a thorough, accurate, and practical knowledge of their field or discipline Ability to interpret and evaluate the theories of their field or discipline Ability to effectively operate related equipment and machines for instructional purposes Ability to manage and work effectively in a highly ethnic and culturally diverse student and associate community Ability to use effective communication skills, both oral and written, including presentations, and effective listening skills Ability to use creative facilitation and conflict resolution skills to resolve difficult and sensitive issues Working knowledge of Statistical Software, Microsoft Office Suite Products, especially Outlook, Word, PowerPoint, Excel, Teams, and other MS Office products as needed Application Instructions: Please upload a cover letter, CV, and a list of three (3) references Salary Range: $110,000 - $110,000 About Us: ABOUT THE KATZ SCHOOL: The Katz School of Science and Health, with 1300 master's and doctoral students, is now the largest graduate school at Yeshiva University. Located in the heart of New York City, Yeshiva University is a US News and World Report Top 100 University. We are research scientists, tech builders, entrepreneurs, and patient-centered clinicians working on problems that matter. We focus on industry sectors that are central to the modern economy: Artificial Intelligence, Biotechnology, Computer Science, Cybersecurity, Data Analytics, Digital Media, and Fintech, as well as Physician Assistant Studies, Nursing, Occupational Therapy, and Speech-Language Pathology. Katz School faculty take an interdisciplinary approach to research and education, fostering the creativity, collaborative thinking, and builder mindset required to take on today's toughest problems. Over the last five years, we have launched ten master's and doctoral programs with 92% graduation rates, 100% licensure pass rates, 95% post-graduation employment in high-paying careers, and students and alumni from over 30 countries. The Katz School is a close-knit community with a big network, nestled in the heart of a big city. We are global in reach, with faculty and students from across the United States and around the world-and also deeply embedded in New York City's rich professional and social fabric. With a vibrant campus life and city at our fingertips, the Katz School is where bold, purpose-driven people come to create, connect, and explore. Read about projects at Katz. ABOUT YESHIVA UNIVERSITY: The mission of Yeshiva University - the world's flagship Jewish university - is to educate, empower, and inspire our students to become the next generation of leaders, guided at all times by our core values. We do this through a transformative, world-class, and interdisciplinary education that is deep and broad and that cultivates in our students a sense of meaning, purpose, and drive to make the world a better place - for themselves and for future generations. Equal Employment Opportunity: Yeshiva University is an equal opportunity employer committed to providing employment opportunities to all employees and candidates without regard to race, color, age, sex, national origin, disability status, or any other characteristic protected by federal, state, or local laws.

Job Description Kick‑start your career in healthcare research Are you looking for a role where you can make a real impact, learn from industry experts, and grow faster than you thought possible? If you're a recent graduate passionate about healthcare, people, and problem‑solving, this could be the perfect next step for you. At HRW, we help leading healthcare and pharmaceutical organizations understand real human behavior so they can make better decisions that improve patient lives. You'll join a team that's curious, collaborative and genuinely passionate about what we do. A career that grows with you We know that starting your first full‑time role is a big moment - and we're committed to giving you all the tools, training and support you need to succeed. As part of our Graduate Academy, you'll receive: Extensive structured training from day one Hands‑on learning across real client projects Mentorship and coaching from experienced researchers Clear progression paths designed around your strengths Regular feedback and development sessions Opportunities to work across multiple therapy areas and methodologies Your development is a priority for us. You won't just learn what to do, you'll learn why it matters and how to grow your skills into a long‑term, meaningful career. What the role involves As a Trainee Research Executive, you'll be involved in every stage of the research journey, including: Designing research studies Creating questionnaires and discussion guides Planning fieldwork and coordinating logistics Analyzing data and uncovering insights Helping build engaging, story‑driven client presentations You'll also have the chance to travel, whether that's visiting other offices, observing fieldwork or attending client meetings. We'll support you as your confidence grows, giving you more responsibility at a pace that feels right for you. Some important details: No visa sponsorship is available Starting salary: $60,000 This is a full‑time, permanent role based in Manhattan, NYC Hybrid working: minimum 2 days a week in the office (more during training) Check out our instagram to find out what we've been up to @hrwhealthcare Requirements Who we're looking for We want graduates who are motivated by learning and excited about the healthcare space. You might be a great fit if you're: Curious and analytical Adaptable and open to learning Highly organized A strong communicator A collaborative team player Detail‑oriented You don't need a specific major - life sciences are welcome, but we're open to all academic backgrounds. Our Graduate Academy is expected to begin on 7th September 2026, though earlier start dates are possible. Benefits Benefits you'll enjoy We believe people do their best work when they feel supported and valued. Here's what you can expect: 4pm finishes on Fridays Flexible working hours and the ability to work from home (based on business needs) Competitive PTO Mentoring scheme Rest‑time programme to support travel and long working days Volunteer days Regular team off‑sites, socials and training days Social events, breakfasts, lunches and team activities Access to a discount platform Your birthday off

Your work will change lives. Including your own. The Impact You'll Make As a key member of Recursion's portfolio-facing data science team, you will be at the forefront of reimagining drug discovery from first principles using Recursion's massive data and compute capabilities. You will be the primary computational lead for multiple IND and clinical stage drug development programs and will be expected to use platform and patient data to advance our most promising therapeutic candidates through clinical trials. You will be responsible for the evaluation of therapeutic hypotheses using internal and external data to identify candidate biomarkers to measure in translational studies and in phase I-II clinical trials. This is a highly collaborative role: you will partner with biologists, clinicians, platform and data engineers, and translational experts to develop and scale methods that bring patient insights and reverse translation to the forefront of our medicines portfolio. The ideal candidate has strong stakeholder management, the ability to independently scope and prioritize with ambiguous or conflicting information, and is motivated to look under every stone to do the right thing for patients. In this role, you will: * Evaluate the molecular evidence for predictive and PD biomarker hypotheses in translational models and clinical samples (DNA, RNA, ct DNA, and novel exploratory modalities) * Pilot novel methods for patient stratification and indication selection or expansion * Deliver biological insights on therapeutic candidates and disease biology from the analysis of high dimensional (phenomics, transcriptomics, patient-derived) datasets * Present data analysis to decision makers and stakeholders in a clear and compelling way that drives toward getting medicines to patients * Industrialize analysis approaches to not only solve for the current project, but also accelerate future projects and scale the impact that we can have * Collaborate cross-functionally with Recursion's data science, platform, ML and clinical teams to further advance Recursion's ability to leverage our own clinical data in meta-analysis, hypothesis generation, and reverse translation The Team You'll Join Our group is a bold, agile, diverse collective of computational drug discovery scientists deeply focused on the singular goal of bringing new therapeutics into the clinic at an accelerated pace. You will work extensively with scientists across the organization to advance milestones, provide insights, and drive decisions that advance Recursion's capabilities and increase our likelihood of success. Essential attributes for this role include a bold, execution-first attitude and passion for deploying rigorous science to develop life-changing medicines. We partner closely with biologists, translational scientists, and clinicians to design and execute decisional data analysis for multiple programs. We are responsible for data strategy across the portfolio and are supported by computational leadership in designing scalable and reproducible experiments that advance multiple programs at once. Our team works closely with computational biologists in other therapeutic areas (neurobiology, immunology and inflammatory diseases, etc.) as well as data scientists and engineers from our core platform teams to provide a strong network of feedback and support. The Experience You'll Need * PhD in a relevant field (computational biology, systems biology, bioinformatics, cancer biology, immuno-oncology, etc.) with a very strong computational focus and 3+ years of experience in biotech or pharma industry OR MS in a relevant field and 5+ years of experience in biotech or pharma industry solving fundamental problems in oncology or drug discovery * Experience with high dimensional patient biomarker data from clinical trials in oncology * Strong understanding of patient genetics and druggability of disease relevant pathways * Experience applying computational methods (including probabilistic, statistical, and/or machine learning techniques) to analyze and integrate complex biological and/or human clinical data in a high level programming language such as Python or R * Deep expertise in the analysis and data integration of two or more 'omics data modalities (phenomics, transcriptomics, proteomics, genomics) including experience with matched clinical and molecular patient data * Exceptional data visualization skills * Excellent cross-functional communication skills, including an ability to explain complex scientific concepts to a variety of audiences using a combination of plots, documents, and presentations Nice To Have: * Experience with late stage drug discovery and IND submission * Experience collaborating cross-functionally with biometrics, statistical sciences and clinical pharmacology departments Working Location & Compensation: This is an office-based, hybrid role in either our Salt Lake City, UT or New York City, NY offices. Employees are expected to work in the office at least 50% of the time. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is $151,800 to $216,300 (USD). You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. #LI-EP1 The Values We Hope You Share: * We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. * We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. * We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. * We move with urgency because patients are waiting. Speed isn't about rushing but about moving the needle every day. * We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy-leaders take accountability for decisive action, and teams own outcomes together. * We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in Toronto, Montréal, New York, London, Oxford area, and the San Francisco Bay area. Learn more at ****************** or connect on X (formerly Twitter) and LinkedIn. Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.