Senior scientist jobs in North Hempstead, NY - 979 jobs

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 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.

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

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.

COMPANY Volastra Therapeutics, Inc. is a clinical-stage oncology biotech company based in New York City, pioneering novel approaches to treating cancer by targeting chromosomal instability (CIN), a unique vulnerability in cancer. Since its founding in 2019, Volastra has grown to support ongoing discovery efforts and a growing clinical organization. Our lead pipeline programs focus on two distinct inhibitors of KIF18A, a novel therapeutic target. VLS-1488, internally discovered, entered clinical trials in Q4 2023 for the treatment of advanced cancers. Sovilnesib, in-licensed from Amgen in 2023, re-entered the clinic in Q2 2024. Both assets have been granted Fast-Track Designation by the FDA. Volastra is also developing new techniques to understand the biology of chromosomal instability and leveraging these insights to drive forward a preclinical pipeline of therapies against innovative targets. Volastra is backed by top US and European venture firms such as Arch, Polaris, Vida, Droia, Catalio, and B Capital, alongside strategic investment from Eli Lilly. In addition to venture funding, Volastra has established partnerships with oncology leaders. Our senior leadership team is highly experienced, supported by a world-class advisory board. We are headquartered in West Harlem, New York City, within easy reach of Columbia, Cornell, Memorial Sloan Kettering, and surrounding areas. Please visit ****************** for more information. JOB DESCRIPTION: The role of Scientist of Discovery Science will report to the Senior Scientist/Senior Lab Manager in close collaboration with the Chief Scientific Officer and the rest of the Discovery Team, and work towards the successful execution of preclinical development programs. As a scientist, you will play a central role in turning foundational CIN biology into new medicines. You will design, execute, and interpret rigorous experiments that validate targets, elucidate mechanism of action, and accelerate progression from hit/lead to in vivo proof‑of‑concept. This is a bench‑forward position for a creative, self‑directed experimentalist who thrives in a fast‑moving biotech setting and loves collaborating across chemistry, biochemistry, DMPK, in vivo pharmacology, and computational biology. Volastra is a fast-paced biotech company of passionate employees, and there is ample opportunity for the ideal candidate to grow and develop with the organization. Individuals will have, from time to time, the opportunity to gain experience with projects outside their direct scope of work. Job is based in NYC and requires a minimum of 80% in office time. RESPONSIBILITIES: * Participate in key discovery workstreams from target validation through early pharmacology; design clear, decision‑driving experimental plans and timelines. * Interrogate mechanism using genetic perturbation (e.g. CRISPR/Cas9, RNAi), rescue, pathway mapping, and combination studies aligned with CIN biology. * Develop and optimize cellular assays to quantify phenotype and mechanism. * Build translationally relevant target‑engagement and PD assays to enable SAR and inform dose/PK-PD modeling for in vivo studies. * Track record of successfully managing external projects with CRO's from scoping to final data delivery * Work effectively with colleagues across the team to participate in adjacent discovery-related efforts * Provide clear updates to Discovery, Preclinical, and Leadership; write technical reports, support patent filings, and prepare data packages for milestones. REQUIREMENTS: * PhD in Molecular/Cell Biology, Biochemistry, Cancer Biology, Pharmacology or related field (or MS/BS with commensurate depth of industry experience). * 5+ years of hands-on lab experience with a range of relevant research techniques including cell-based assays and molecular biology. In vivo mouse experience is strongly preferred * Understanding of the drug development process from target identification to marketing authorization is strongly encouraged * Excellent communication, organizational, and problem-solving skills * Ability to collaborate well with team members PREFERRED EXPERIENCE: * Direct experience in CIN‑relevant biology (mitosis, microtubules/kinetochore function, replication stress, DNA‑damage response) or image‑based phenotyping * In vivo oncology familiarity (xenograft/PDX syngeneic models), PK/PD thinking, and translational biomarker awareness for discovery‑to‑development continuity. Salary Range: Approximately $130,000 - $150,000 which may vary depending on qualifications, experience, and ultimate leveling. Leveling outside of that stated may be considered for exceptional candidates on a case-by-case basis.

Immunai is an engineering-first platform company aiming to improve therapeutic decision-making throughout the drug discovery and development process. We are mapping the immune system at unprecedented scale and granularity and applying machine learning to this massive clinico-immune database, in order to generate novel insights into disease pathology for our partners - pharma companies and research institutes. We provide a comprehensive, end-to-end solution - from data generation and curation to therapeutics development, that continuously supports and validates the capabilities of our platform. As drug development is becoming increasingly inefficient, our ultimate goal is to help bring breakthrough medicines to patients as quickly and successfully as possible. Immunai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. About the role: This position offers an opportunity to work in a highly-collaborative environment with world-leading scientists developing and applying state-of-the art profiling technologies to a diverse set of projects at the intersection of the immune system and disease. The successful candidate will work in a fast-paced team and will interface closely with a multidisciplinary team of immunology, molecular biology, and bioinformatics scientists. Specifically, they will contribute to the Molecular Profiling team performing advanced molecular analyses on a diverse set of clinical and experimental samples. The successful candidate will be an excellent team player, agile in thought, energetic, and willing to learn new methods and skills. Location: New York City (On-site role) What will you do? * Augment efforts of teams using a wide range of techniques including, but not limited to immune cell isolation and processing from human specimens, cell cultures and in vitro model systems * Domain expert with single cell genomics methods, and proven experience of innovation in this field (sample optimization, protocol development). * Operation, calibration and maintenance of flow cytometers, cell sorters and related equipment and associated computational hardware * Maintenance of a complete, accurate, and timely electronic record of all experiments using an informatics management system. * Active participation in cross-functional team meetings and effective communication with other members of the lab, computational biology, and software team * Expected to deliver impactful presentations to other colleagues including senior leadership Requirements Required qualifications: * 4-6 years of experience in Molecular Biology or Immunology; * MS with 2-4 years relevant experience, PhD with 1+ years of post-PhD experience is preferred. * Experience with protocols for sample and library preparation for single cell multiomics and familiarity with NGS processes. Additionally, familiarity with high-throughput, automated single cell profiling workflows is preferred. * Experience working with tissue samples, including single cell dissociation. * Experience with sectioning, staining (immunohistochemistry, fluorescence microscopy, in situ hybridization), imaging and basic image analysis is a distinct advantage * Familiarity with high throughput lab data management (e.g. Benchling) * Strong analytical skills, problem solving ability, and innovation aptitude required * Must be willing to discover and learn new software and technology applications quickly * Must have strong attention to detail and an ability to multitask * Ability to collaborate closely with interdisciplinary individuals from a broad range of backgrounds * Ability to work independently with minimal supervision * Ability to work successfully in a fast-paced environment * Excellent interpersonal skills and ability to effectively work as part of a team are essential * Excellent organization and time management skills Desired personal traits: * You want to make an impact on humankind * You prioritize "We" over "I" * You enjoy getting things done and striving for excellence * You collaborate effectively with people of diverse backgrounds and cultures * You have a growth mindset * You are candid, authentic, and transparent Compensation: This position offers a salary typically between $105,000 - $140,000. There is an opportunity to consider higher compensation above this range based on business need, candidate experience, and or skills. * Please note that when you apply for a position at Immunai, your application will be processed via our recruitment platform SparkHire. You can read more about how we process personal data here: ***************************************

We are conducting a research study aimed at improving smart glasses technology for people with disabilities, specifically those with hearing loss. We are looking for individuals with low to moderate hearing loss to participate and help us test and provide feedback on our smart glasses prototype.Who We're Looking For: Adults (18 years or older) with mild to moderate hearing loss Comfortable using wearable technology or open to trying it Able to provide feedback and participate in a guided user experience session No prior experience with smart glasses needed Up to 3 hours of active commitment What You'll Do: Wear and interact with a prototype of smart glasses Complete tasks or activities while using the device Share your experience and provide feedback in a short interview or survey Why Participate: Be part of a project that advances accessibility and inclusive technology Your input will directly influence how we design assistive devices for the Deaf and hard of hearing community Receive compensation for your time and effort $70 - $75 an hour We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

The Applied Innovation of AI (AI2) team is an elite machine learning group strategically located within the Chief Technology Office of JP Morgan Chase. AI2 tackle business critical priorities using innovative machine learning techniques and technologies with a focus on machine learning for Software, Cybersecurity and Technology Infrastructure. The team partners closely with stakeholders in these areas to execute projects that require machine learning development to support JPMC businesses as they grow. Strategically positioned in the Chief Technology Office, our work spans across Cybersecurity, Global Technology Infrastructure and the Software Development Lifecycle (SDLC). With this unparalleled access to technology groups in the firm, the role offers a unique opportunity to explore novel and complex challenges that could profoundly transform how the bank operates. As a Machine Learning Scientist, you will apply sophisticated machine learning methods to a wide variety of complex tasks including data mining and exploratory data analysis and visualisation, text understanding and embedding, anomaly detection in time series and log data, large language models (LLMs) and generative AI for technology use-cases, reinforcement learning and recommendation systems. You must excel in working in a highly collaborative environment together with the business, technologists and control partners to deploy solutions into production. You must also have a passion for machine learning and invest independent time towards learning, researching and experimenting with new innovations in the field. You must have solid expertise in Deep Learning with hands-on implementation experience and possess strong analytical thinking, a deep desire to learn and be highly motivated. Job Responsibilities Research and explore new machine learning methods through independent study, attending industry-leading conferences and experimentation Develop state-of-the art machine learning models to solve real-world problems and apply it to complex business critical problems in Cybersecurity, Software and Technology Infrastructure Collaborate with multiple partner teams in Cybersecurity, Software and Technology Infrastructure to deploy solutions into production Drive firmwide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business Contribute to reusable code and components that are shared internally and also externally Required qualifications, capabilities and skills PhD in a quantitative discipline (e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science.) with 1 year experience Or Masters with 2 years of industry or research experience in the field. Hands-on experience and solid understanding of machine learning and deep learning methods Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) Extensive experience with large language models (LLMs) and accompanying tools & techniques in the LLM ecosystem (e.g. LangChain, LangGraph, Vector databases, opensource Models, RAG, Agentic Systems & Workflows, LLM fine-tuning) Scientific thinking and the ability to invent Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals Experience with big data and scalable model training Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences Curious, hardworking and detail-oriented, and motivated by complex analytical problems Ability to work both independently and in highly collaborative team environments Preferred qualifications, capabilities and skills Strong background in Mathematics and Statistics Familiarity with the financial services industries Experience with A/B experimentation and data/metric-driven product development Experience with cloud-native deployment in a large scale distributed environment Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal Ability to develop and debug production-quality code Familiarity with continuous integration models and unit test development

JAX/NYSCF is seeking an Associate Research Scientist to join the Functional Genomics team as part of the NYSCF Global Stem Cell Array™, a robotic system that automates both iPSC derivation, gene editing, and downstream differentiations. The Associate Research Scientist will contribute to an innovative project centered on phenotyping cardiomyocytes derived from genetically diverse human induced pluripotent stem cell (hi PSC) lines. This work aims to uncover the genetic basis of cardiotoxic responses and to advance predictive models of cardiovascular health through high-throughput functional screening, transcriptomics, and metabolomics. The project is highly collaborative, involving multidisciplinary teams across several institutions. The primary focus of the work you'll do at JAX/NYSCF is developing automated protocols for the derivation/culture of iPSC-derived cardiomyocytes, drug testing, and sample preparation for downstream analyses, including imaging and single-cell sequencing. We want candidates with extensive expertise in human pluripotent stem cell culture, directed differentiation into cardiomyocytes, and functional assays. Experience with cell culture automation (including liquid handling systems) or high-throughput assays is a major plus. This role offers a unique opportunity to work with state-of-the-art screening technologies and automated platforms while contributing to impactful translational research in cardiac safety pharmacology and personalized medicine. As a Associate Research Scientist on the Functional Genomics team, you will: Design, optimize, and execute experiments to advance a high-throughput iPSC-derived cardiomyocyte platform Culture and expand iPSCs, generate iPSC-derived cardiomyocytes, and assess cardiomyocyte quality using automated liquid handling systems Apply strong scientific knowledge and analytical skills to monitor, troubleshoot, and refine experimental workflows in real time. Independently conduct literature reviews to identify and propose innovative experimental methods, procedures, or technologies Contribute to project planning by preparing budgets, timelines, and resource estimates for supplies and equipment Lead multiple, concurrent project components, ensuring progress toward research goals Evaluate and document results, adapt methodologies as needed, and maintain compliance with regulatory standards Communicate research goals and findings effectively, guiding team members and informing collaborators on past and future directions Coordinate with external partners to explore new research opportunities Foster a collaborative environment by sharing expertise and demonstrating openness to learning from others Minimal requirements PhD +3 years of work experience in Cell Biology, Molecular Biology, Biomedical Engineering, or a related discipline. Experience with induced pluripotent stem cells or cardiomyocytes/ iPSC-derived cardiomyocytes. Strong communication skills, with the ability to clearly explain research findings and methodologies in both written and verbal formats, as well as effectively discuss, troubleshoot, and resolve experimental challenges with team members and collaborators. Ability to follow and adapt protocols accurately. Excellent documentation and data management practices. Preferred experience: Experience in differentiation of iPSC culture in cardiovascular lineages. Exposure to automated cell culture systems (liquid handlers) Electrophysiology experience is a plus Flow cytometry Please submit a Cover Letter and CV for application consideration. Pay Range: $65018 - $108857 per year, dependent upon experience. About JAX: The Jackson Laboratory is an independent, nonprofit biomedical research institution with a National Cancer Institute-designated Cancer Center and nearly 3,000 employees in locations across the United States (Maine, Connecticut, California), Japan and China. Its mission is to discover precise genomic solutions for disease and empower the global biomedical community in the shared quest to improve human health. Founded in 1929, JAX applies over nine decades of expertise in genetics to increase understanding of human disease, advancing treatments and cures for cancer, neurological and immune disorders, diabetes, aging and heart disease. It models and interprets genomic complexity, integrates basic research with clinical application, educates current and future scientists, and provides critical data, tools and services to the global biomedical community. For more information, please visit *********** . EEO Statement: The Jackson Laboratory provides equal employment opportunities to all employees and applicants for employment in all job classifications without regard to race, color, religion, age, mental disability, physical disability, medical condition, gender, sexual orientation, genetic information, ancestry, marital status, national origin, veteran status, and other classifications protected by applicable state and local non-discrimination laws.

Your work will change lives. Including your own. The Impact You'll Make Within Recursion, the clinical development technology ("ClinTech") team is at the forefront of applying technology to increase efficiency in our clinical programs. The ClinTech team supports study planning, execution, and contextualization of trial results. The mission is to dramatically increase the probability of success of our clinical programs. In this role, you will: * Apply statistical programming skills to large databases, including health insurance claims, electronic health records, and real-world human genomics data * Apply causal inference skills to infer relationships between clinical, genomics, and outcomes. * Build relationships with clinical development, clinical operations, biometrics and computational biology teams. * Produce scientifically rigorous evidence that will facilitate decision-making in clinical (and sometimes pre-clinical) programs. The Team You'll Join We are a small, yet highly visible team within Recursion focused on the frontiers of clinical development and also dabble with pre-clinical phases. We carry ourselves with humility, work with speed and curiosity, and hold ourselves to the highest standards of scientific rigor. The Experience You'll Need * Advanced degree in a quantitative discipline. Alternative disciplines will be considered, provided there is work experience in quantitative roles. * At least 6 years of experience in the application of the skills highlighted below will be required. * Expertise with at least one statistical programming language such as Python or R * Strong background in applied statistics, including model fitting and inference from observational data. Hands-on experience developing and validating machine-learning predictive models. * Experience in biotech research and development is required. Working Location & Compensation: This is an office-based role in either Salt Lake City or New York City. 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.

Artech is the 10th Largest IT Staffing Company in the US, according to Staffing Industry Analysts' 2012 annual report. Artech provides technical expertise to fill gaps in clients' immediate skill-sets availability, deliver emerging technology skill-sets, refresh existing skill base, allow for flexibility in project planning and execution phases, and provide budgeting/financial flexibility by offering contingent labor as a variable cost. Job Description • The qualified candidate will join the Analytical R&D organization and will contribute to the development of biological therapeutics. Within Analytical R&D, the candidate will provide the analytical testing support for the Conjugation Process group. • The qualified candidate will be responsible for general laboratory support. • A knowledge and awareness of mechanism of action and the impact of structure on function for biotherapeutic products is desirable. Qualifications • Must be self-motivated, organized and have strong attention to detail. Proficient Computer software skills (MS Office - MSWord, Excel, Outlook). Good organizational, communication skills. • A good understanding of chemistry/biochemistry and macromolecule analytics. Requirements/Skill Level: Experience in protein analytical testing and applying a broad range of analytical techniques (HPLC, CE, Spectroscopy, etc.). Familiar with GLP procedures and Empower chromatographic data acquisition software and laboratory information systems (e.g. LIMS system, eLN,) and demonstrated ability to support lab staff in the use of such systems will be considered a strong plus Additional Information Best Regards, Anuj Mehta ************

Biophysical Assoc Scientist needs 2+ years experience Biophysical Assoc Scientist requires: College degree in science related field or equivalent laboratory experience. Proficient MS Excel, Word, PowerPoint and File Explorer Ability to learn and develop comfort with various instrumentation software. Careful adherence to established procedures and proposed experimental design. Detail oriented and manual dexterity when working with instruments and samples. Demonstrating integrity in performing tasks to produce repeatable data. Excellent organizational and communication skills. Biophysical Assoc Scientist duties: Collects samples and prepares hair swatches to perform methods adhering to a set procedure. Performs technical procedures to measure product performance on hair with variety of lab equipment. Analyzes data, performs statistical calculations, and draws conclusions to substantiate claims.

The qualified candidate will join the Analytical R&D organization and will contribute to the development of biological therapeutics. Within Analytical R&D, the candidate will provide the analytical testing support for the Conjugation Process group. The qualified candidate will be responsible for general laboratory support. A knowledge and awareness of mechanism of action and the impact of structure on function for bio therapeutic products is desirable. Some experience in colorimetric assays and protein analytical and applying a broad range of analytical techniques (HPLC, CE, Spectroscopy, etc.) is required. A good understanding of chemistry/biochemistry and macromolecule analytics is required. Good communication and writing skills is required. Responsible for general laboratory and operational support. Including providing logistical support for samples and compounds management, ordering supplies and carrying out general bench work activities. Qualifications Only BS degree in Chemistry or Biochemistry Additional Information

Job DescriptionAbout the Role Our client is an innovative AI-driven retail security firm currently experiencing 10x growth. As they scale from individual retailers to massive enterprise clients with 100+ locations, they are seeking a Founding Applied Scientist to build their core AI capabilities from the ground up. This is not a "pure research" role. You will be a hands-on builder owning the full model development lifecycle. You'll be responsible for everything from data collection strategy and quality assessment to training, inference optimization, and shipping production-quality code. Reporting directly to the CTO, you will collaborate with a distributed engineering team to deliver computer vision solutions that have an immediate impact on retail safety and operations. Key Responsibilities Lead Model Development: Take full ownership of the model lifecycle, including production training, optimization, and inference deployment. Bridge Research & Engineering: Write substantial, production-ready code (Python) to ensure CV models are successfully deployed via cross-functional engineering teams. Strategic Data Planning: Design and implement data collection and quality assessment frameworks to improve model accuracy in real-world retail environments. Technical Communication: Present complex technical findings and AI roadmaps to both engineering teams and executive leadership. What We're Looking For Experience: 3+ years of professional experience in Applied Science, ML Engineering, or Computer Vision roles. Proven Track Record: You have shipped customer-facing products and have deep experience with real-world CV applications (e.g., YOLO or similar architectures), rather than just academic projects. Technical Mastery: Advanced proficiency in Python with PyTorch or TensorFlow. Academic Background: Master's degree or PhD in Computer Science, Machine Learning, or Computer Vision. Collaborative Spirit: Comfortable working in a fast-paced startup environment and collaborating with distributed teams across time zones (specifically Turkey-based engineering).

Layer Health was founded in 2023 by leading machine learning researchers from MIT and Harvard Medical School. We are building an AI layer that can accurately and scalably synthesize information from medical records, with the mission to reduce friction everywhere in healthcare. Our LLM-powered platform is solving chart review once and for all, across use cases. For health systems, our first product dramatically accelerates clinical registry abstraction in areas ranging from surgery and cardiology, to oncology. Our long term vision is for our AI layer to safely transform patient care and minimize unnecessary heartbreak. Layer Health's diverse founding team brings expertise across machine learning, UI/UX, large language models, and medicine. We're seeking outstanding hires to join our team as early members. This is an opportunity to contribute to a high-impact, collaborative, mission-driven team, and help define the next stage of growth for Layer Health. Together, we will create the AI layer that will redefine healthcare for the better. Here's a collection of articles about our product, mission, recent funding round, etc. Job Description We're hiring an exceptional ML scientist. In this role, you will be responsible for pioneering innovative machine learning techniques to advance our fundamental clinical machine learning and large language model efforts. You can expect to: Design and implement state-of-the-art machine learning techniques to advance Layer Health's research agenda (in areas such as information extraction, multimodal reasoning, and summarization). Propose new agentic methods that tackle fundamental NLP and ML challenges such as modeling over multiple documents, long contexts, multiple modalities, and with limited or noisy labels Build foundation models to power the future of clinical information extraction & synthesis, from training through inference. Stay up-to-date and actively engage with cutting-edge research in NLP, generative AI, and clinical machine learning. Collaborate with the broader engineering team to ship performant products that meet user needs. Cultivate and foster a robust and thoughtful R&D culture that drives the company forward. We look for: Exceptional methodological research background and experience, including but not limited to: A PhD in computer science/applied mathematics or equivalent research experience, specializing in natural language processing and machine learning. High-impact, early-author publications at top peer-reviewed ML journals/conferences. Demonstrated record of delivering real-world impact from start to finish- with the ability to design, develop, and ship innovations. Strong programming skills and fluency with modern machine learning/LLM stacks (deep learning libraries e.g. PyTorch, Jax). Past experience in training/inference of foundation models (billions of parameters, distributed training, familiarity with state-of-the-art techniques). A strong communicator who thrives in a customer-focused, fast-paced environment. An excited and adaptable team player who wants to disrupt the healthcare industry with AI/ML, alongside an awesome team. Past experience in healthcare of life sciences is a plus, but not required. We are a Boston-based company, and expect employees to meet regularly in-person in Boston (employees from Boston, NYC, or east coast are welcome). Expected compensation range for this role is $200,000-250,000, in addition to stock options. Compensation is dependent on experience, overall fit to our role, and candidate location. Expected compensation ranges for this role may change over time. If your compensation requirement is greater than our posted salary ranges, please still consider applying to our role. We will make a determination as to whether an exception can be made. If you are excited about this role, we encourage you to apply even if you don't feel that you meet every single requirement. We're eager to meet people that believe in our mission and can contribute to our team in a variety of ways. We welcome diverse perspectives, rigorous thinking, and fearlessness in challenging the status quo. Layer Health is committed to fostering an environment of inclusion that is free from discrimination. We are an Equal Opportunity Employer where employment is decided on the basis of qualifications, merit, and business need. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected Veteran status, or any other characteristic protected by law. Join us and help us transform healthcare with AI.

Drug discovery is a prediction problem. Scientists design molecules that they predict will be potent, safe, and readily absorbed into the body, but ultimately lab experiments must be run to know whether these predictions are accurate. Each one of these experiments can take weeks or months to run, and as a result it costs millions of dollars and takes years to design a molecule that is ready for testing in humans. At Inductive Bio, we're using AI to build in silico models that can more accurately predict how molecules will behave in experiments. By predicting complex molecular properties directly from the molecular structure, our platform helps scientists make better decisions faster-ultimately bringing safer, higher-quality medicines to patients more quickly. We are enabled by a unique and growing proprietary data set, and we are already applying our methods to dozens of active drug discovery programs. Backed by leading investors at the intersection of biotechnology and technology and advised by renowned experts in drug discovery, we are growing rapidly and poised to make a major impact in drug discovery. We are seeking Machine Learning Scientists to join our talented, ambitious, and kind team. You'll have the opportunity to innovate on methods, work with leading drug discovery scientists, and apply your work immediately to drug programs at some of the most innovative biotechs in the world. As an early machine learning scientist at a rapidly-growing startup, you'll have the opportunity for high impact while learning and growing with the company. What you'll do: Develop machine learning models to predict molecular properties from chemical structures Develop novel algorithms for generating ideas for new molecules Build agents that can synthesize complex information from drug programs and apply that information strategically toward molecular optimization Get your hands dirty by diving deep into our unique, proprietary dataset to iterate on modeling ideas and improve model performance Collaborate closely with chemists and software engineers to integrate models into our software platform, which is used by drug discovery scientists across the industry Build and optimize scalable infrastructure for model training, deployment, and monitoring Engage directly with our scientific users, incorporating their feedback into the product Contribute meaningfully to product strategy and company direction Who you are: You have 4+ years of experience as a Machine Learning Scientist, Machine Learning Engineer, Data Scientist, or similar role You have expertise in machine learning fundamentals, deep learning architectures, and evaluation approaches You are proficient in standard Python-based ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn) You are comfortable writing high-quality, reusable code and productionizing models for serving in the cloud You are excited to dive deep into the science and practice of drug discovery You have exceptional written and oral communication skills Working at Inductive At Inductive Bio, we know that the people on the team are what make us great. We offer competitive salary and equity-based compensation; comprehensive healthcare benefits (including dental and vision); and the opportunity to grow along with a rapidly scaling company. We are a passionate, kind, and mature team. Working at a fast growing startup is not always a 9-5 job, but we believe that our employees should have full lives beyond their career.

JobID: 210688096 JobSchedule: Full time JobShift: Base Pay/Salary: New York,NY $137,750.00-$195,000.00 The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As an AI Research Scientist - Senior Associate on the AI Research team, you will conduct end-to-end research typically within a specialized focus area and collaborate on multiple research projects with internal and external researchers and applied engineering teams. Your output will result in high-impact business applications, open-source software, patents and/or publications in AI/ML conferences and journals. The goal of J.P. Morgan AI Research is to explore and advance cutting-edge research in AI, including ML as well as related fields like Cryptography, impacting clients and businesses, with a team of experts located in New York, London, Madrid, Paris, and the Bay Area. Conducting AI research in financial services offers unique and exciting opportunities for impact to both J.P. Morgan and the broader AI community. Job responsibilities * Conduct end-to-end research typically within Natural Language Processing (NLP) * Collaborate with internal and external researchers and with applied engineering teams * Engage in all aspects of the research lifecycle such as formulating problems, gathering data, generating hypotheses, developing models and algorithms, conducting experiments, synthesizing results, building prototype applications and communicating the significance of your research * Produce outputs that lead to high-impact business applications, open source software, patents and/or publications in top AI/ML conferences and journals * Participate in relevant top-tier academic conferences to broaden the impact of your contributions Required qualifications, capabilities, and skills * PhD in Computer Science or related field or a MS with at least 3 years of experience in the field * Research publications in prominent NLP venues; e.g., conferences, journals * Strong expertise in one or more specialized areas of relevance e.g., LLM-based reasoning, foundational models, multimodal document analytics, knowledge representation, natural language processing and understanding * Experience in NLP/ML platforms such as Tensorflow/Keras, PyTorch, AWS, Hugging Face, etc. * Proficiency with rapid prototyping and disciplined software development processes * Expertise in software engineering within collaborative project settings Preferred qualifications, capabilities, and skills * Extensive programming skills in Python, Java or C++ * Interest in problems related to the financial services domain (specific past experience in the domain is not required)

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. Our AI team is a central R&D group comprised of quantitative researchers, engineers, and ML experts leading LLM research and applications at Jump. Our mission is to combine emerging techniques and models with original research to generate signals from unstructured data. What You'll Do: We are seeking research scientists with a demonstrated ability to apply machine learning to achieve state-of-the-art capabilities in complex and challenging domains. The ideal person for this role will be capable of leading an open-ended research project from concept to production: finding compelling problems well suited to current and projected LLM capabilities, collaborating extensively with trading teams to understand requirements and constraints, and continuously improving model design, tools, and infrastructure. Potential projects may target any area of the quantitative research process with the potential for firmwide application. We believe that successful research efforts require a fluid mix of skills including ML expertise, engineering pragmatism, and market intuition, and welcome all candidates who can demonstrate brilliance in one area, competence in a second, and enthusiasm for the third. Other duties as assigned or needed. Skills You'll Need: * 5+ year track record of creating ML systems with real metrics & impact in industry and/or academia * Strong general ML background with some exposure to language modeling architectures (e.g. transformers, SSMs) * Solid development skills in Python and/or C++ * Familiarity with ML libraries/frameworks such as PyTorch (preferred), TensorFlow, and/or JAX * Intellectual curiosity, versatility, and originality combined with a pragmatic outlook * Ability to reason through quantitative problems and communicate effectively with trading researchers * Reliable and predictable availability Bonus Points * Experience with HPC and distributed large model training * Experience with GPU performance optimization (CUDA or ROCm) * Experience with end-to-end model development, especially in LLMs * Prior academic publications and/or contributions to open-source AI research * Strong opinions on best practices in ML research, tooling, and/or infrastructure

About VML VML is a leading creative company that combines brand experience, customer experience, and commerce, creating connected brands to drive growth. VML is celebrated for its innovative and human first, award-winning work for blue chip client partners including AstraZeneca, Colgate-Palmolive, Dell, Ford, Microsoft, Nestlé, The Coca-Cola Company, and Wendy's. The agency is recognized by the Forrester Wave Reports, as a Leader among Marketing Creative and Content Service Providers, Commerce Services, Global Digital Experience Services, Global Marketing Services and, most recently, Marketing Measurement & Optimization. In addition, VML's specialist health network, VML Health, is one of the world's largest and most awarded health agencies. VML's global network is powered by 26,000 talented people across 55+ markets, with principal offices in Kansas City, New York, Detroit, London, São Paulo, Shanghai, Singapore, and Sydney. VML is a WPP agency (NYSE: WPP). For more information, please visit ************ and follow along on Instagram, LinkedIn, and X. About VML Health: VML HEALTH is a global healthcare agency that partners with healthcare clients across a broad definition of health, from high science to wellness and everything in between. It operates fluidly within the VML agency, as a core group of health specialists (a 'vertical') that has the benefit of autonomy in management, but with support of non-health expertise. At the heart of health is the story of life - all the highs and lows, ambitions, and possibilities. But facing a health challenge can suddenly pull people away from these stories, knocking them off course. Our purpose is to bridge this gap, bringing people closer to life and all its meaning. We gain a deeper understanding of Healthcare Professionals' and patients' needs, behaviors and lived experiences through what we call 'radical empathy'. VML Health creates connected brands that get to the heart, bringing people closer to the lives they want to live. Get to the heart. Connect for life. International Meetings and Science (IMsci), a division of VML Health, works with companies to build world-class healthcare and pharmaceutical brands among medical professionals and consumers, with a transmedia storytelling approach that covers medical education strategies. What we're looking for: The Senior Scientific Associate will collaborate with scientific, account, and editorial teams to ensure scientific integrity across client projects and new business endeavors. This role supports all project phases, from brainstorming and research to content creation and revision. What you'll do: * Read, interpret, and distill complex scientific information from medical journals and clinical study reports for scientific and marketing messages. * Assist in creating scientific content. * Conduct literature searches. * Research physician opinion leaders, medical journals, and conferences. * Incorporate client and editorial changes into documents. * Attend scientific/client meetings with senior team members. * Build professional relationships with key opinion leaders. * Liaise with clients and fulfill their requests. * Partner with account services and editorial teams. * Adhere to internal processes on all projects. * Expand knowledge of the medical communications industry. * Support other teams on important/rush projects. Who you are: * Highly organized and detail-oriented. * Curious about the medical education/communication field. * A willing learner with excellent interpersonal and listening skills. * A team player with a strong work ethic, sound judgment, and effective time management skills. * Willing to work overtime, travel, and attend off-hour events within reason. What you'll need: * Advanced degree in biomedical sciences (MD, PhD, Pharm D). * 1-2 years of experience at a medical communications agency. * Strong professional writing experience in biosciences/medical fields. * Beginner to intermediate skills in Word, Excel, PowerPoint, Adobe Acrobat, internet search, and PubMed. What we offer: * Passionate, driven people | We champion a culture of people that do extraordinary work. * Consciously cultivated culture | We aim to embody the behaviors to build an inclusive community that is in it together, bringing both positivity and active listening into the workplace as we simultaneously strive to empower creative bravery. * Competitive benefits | What we offer full time hires ranges from the full spectrum of group health coverage options (medical, dental, vision) to a generous 401k match (100% dollar-for-dollar match, up to 5% of salary contribution), and a variety of paid time off offerings that reflect our investment in all aspects of your overall life balance and wellness. * Growth-minded opportunities | We aim to nurture a culture of real-time feedback, growth-oriented mindset, and plenty of training opportunities through VML and WPP, so you can continue to grow personally and professionally. #vmlhealthcareers The base salary range for this position at the time of this posting is indicated below. Individual compensation varies based on job-related factors, including location, business needs, level of responsibility, experience, and qualifications. We offer a competitive benefits package, click WPP Benefits for more details. _ $60,000-$140,000 USD We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we've adopted a hybrid approach, with teams in the office an average of four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. WPP (VML) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. When you click "Submit Application", this will send any information you add below to VML. 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