Senior principal scientist jobs in Somerville, MA - 1,024 jobs

Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. Responsibilities Partner with our pharma clients to design, develop and execute computational research leveraging the Tempus platform to advance drug R&D programs. Become an expert in Tempus multimodal clinical and genomic data. Analyze and integrate large, diverse clinical and molecular datasets to extract insights and drive new research opportunities. Lead scientific and technical interactions with clients to co-architect solutions and projects. Become an expert in current and prospective clients' strategies, pipelines, and portfolios to identify where the Tempus platform can add value and collaborate with sales teams to realize that value. Collaborate with Research, Engineering & Data Science teams to develop and deliver innovative computational solutions. Drive continual improvement of the Tempus platform by communicating client feedback, staying ahead of research and industry trends, championing opportunities for new markets, and influencing our leadership and global account strategy teams. Work with Product and Engineering teams to streamline the workflow of computational analyses. Document, summarize, and communicate highly technical results and methods clearly to non-technical audiences. Author whitepapers and peer-reviewed manuscripts illustrating the value of multimodal analysis and AI in drug discovery. Qualifications Education to Masters or Ph.D. level combining quantitative and/or computational skills, e.g., Computational Biology, Biostatistics/Statistical Genetics, Bioinformatics, Biomedical Informatics, Biometrics, Data Science for Health, or similar. Biological or medical knowledge, e.g., Human Disease, Genetics/Genomics, Molecular Biology, or Immunology. Comfort in a client-facing role. Proficient in R or Python. Strong understanding of the molecular nature of human disease. Expert in delivering actionable insight from transcriptomic data sets. Experience with Clinical Trial Data and/or Real World Evidence. Experience with integrative methods to model multi-modal clinical and/or omics data. Experienced in SQL. Thrive in a fast‑paced environment and willing to shift priorities seamlessly. Experience in any of the following will also be beneficial: drug R&D oncology; immunology; single cell or spatial transcriptomics; mechanistic modeling and inference; knowledge and graph‑based AI techniques. CHI: $170,000-$230,000 NYC/SF: $180,000-$250,000 The expected salary range above is applicable if the role is performed from Massachusetts and may vary for other locations (California, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position. Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #J-18808-Ljbffr

Our commitment to people with neuromuscular diseases Dyne Therapeutics is focused on delivering functional improvement for people living with genetically driven neuromuscular diseases. We are developing therapeutics that target muscle and the central nervous system (CNS) to address the root cause of disease. The company is advancing clinical programs for myotonic dystrophy type 1 (DM1) and Duchenne muscular dystrophy (DMD), and preclinical programs for facioscapulohumeral muscular dystrophy (FSHD) and Pompe disease. At Dyne, we are on a mission to deliver functional improvement for individuals, families and communities. Learn more ************************* and follow us on X, LinkedIn and Facebook. Role Summary: The Principal S cientist , ADME-PK in Preclinical Development (PCD) department utilize s their knowledge in drug metabolism, ADME concepts, pharmacokinetics, pharmacodynamic and bioanalytical principles to advance Dyne 's efforts surrounding delivery of therapeutic payloads to muscle and CNS tissues with the FORCE platform . This role is based in Waltham, MA. Primary Responsibilities Include: Design and execute internal/external preclinical studies to understand the pharmacokinetics (PK) and absorption, metabolism, distribution, and excretion (ADME) of Dyne's drug candidates Represent PCD as the ADME-PK subject matter expert on discovery and program teams Partner with and support Research, Toxicology, Translational Biomarkers, Clinical, Regulatory, Project Management and other Dyne departments Collaborate with Clinical Pharmacology/Pharmacometrics to develop quantitative tools to translate PK/PD relationship from preclinical to clinical Author high quality Regulatory documents including INDs, CTAs, and NDA/BLA filings. Prepare strategic and science-based ADME strategies that meet regulatory requirements and program goals Facilitate strategic scientific communication via meetings, abstracts and manuscripts Education and Skill Requirements: PhD in Pharmacokinetics, Pharmacology, Pharmaceutics, Biomedical Sciences or other relevant field with >6 years (MS with >8 years, BS with >12 years) of experience in the biopharmaceutical industry, with evidence of drug development experience Strong knowledge of drug metabolism, ADME concepts, pharmacokinetics, pharmacodynamics and bioanalytical principles F amiliarity with regulatory submission including FIH dosing strategy is highly desirable Proficient in using WinNonlin or other pharmacokinetic software Excellent communication (verbal and written) and presentation skills, as well as interpersonal skills and the ability to represent PCD in a team environment Experience with PK characterization of protein therapeutics or antibody-drug conjugates (ADCs) is desired #LI-Onsite MA Pay Range $159,000 - $195,000 USD The pay range reflects the base pay range Dyne reasonably expects to pay for this role at the time of posting. Individual compensation depends on factors such as education, experience, job-related knowledge, and demonstrated skills. The statements contained herein reflect general details as necessary to describe the principles functions for this job, the level of knowledge and skill typically required, and the scope of responsibility, but should not be considered an all-inclusive listing of work requirements. Individuals may perform other duties as assigned, including work in other functional areas to cover absences or relief, to equalize peak work periods or otherwise balance workload. Dyne Therapeutics is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classification protected by federal, state, or local law. #J-18808-Ljbffr

Applied Physical Sciences (APS) is looking for a highly motivated Physical Scientist to join the Concord, MA team in a part-time, on-call (PTOC) position. Successful candidates will have a PhD in theoretical physics, expertise in inverse theory or tomography, and will support the development of state-of-the-art technologies for tomographic imaging with irregular experiment apertures, with a special emphasis on exploitation of high energy X-rays. APS works on exciting, technically challenging, cutting-edge technologies that will expose candidates to a wide variety of multidisciplinary fields, providing a stimulating environment with considerable opportunity for collegial interaction. At APS you will work in a small company environment where technical excellence is rewarded and an entrepreneurial spirit is encouraged, and you will have the chance to work directly with colleagues and customers that value innovation and creativity. Responsibilities Theoretical modeling of x-ray interaction physics, development of X-ray inversion paradigms for highly challenging experiment scenarios, rigorous characterization of the fundamental information limits of X-ray imaging. Software implementation of processing and modeling techniques, numerical execution of synthetic inversion experiments, display and quantification of model uncertainty Required Attributes and Skills PhD in theoretical physics, and expertise in modeling and inversion of X-ray data Subject matter expertise in one or more of the following: advanced numerical optimization, statistical methods, experiment design optimization, GPU-based computing Extensive experience with computational methods and programming for modeling physical phenomena and processing of real data e.g., Matlab, Python, PyTorch, or Fortran Exceptional communication skills (written and oral) for technical documentation and reviews with customers Desired Attributes and Skills Professional experience of 10+ years in DoD or related industry, a strong publication history in refereed technical journals, and a track record of successful performance on research programs under DARPA, IARPA, NAVSEA or ONR sponsorship is preferred. Experience as principal investigator working on advanced R&D programs Demonstrated technical leadership in modeling and simulation Expertise in one or more of the following: mathematical physics, model-based iterative methods for x-ray tomography, Monte Carlo radiative transport methods for Bremsstrahlung modeling, advanced numerical optimization techniques involving both continuous and discrete variables, regularization methods, uncertainty quantification using the Fisher Information Matrix and the Cramer-Rao Bound, and multi-objective optimization. Experience presenting talks at technical conferences APS, a wholly owned subsidiary of the General Dynamics Corporation, offers a small company environment including competitive salary, excellent benefits, and comfortable working conditions. This is a part-time on-call position open in the Concord, MA office. Candidates must possess or be able to obtain a Top Secret DOD security clearance. Qualified applicants are invited to submit a resume and application online at **************** fax them to ************, Attn: Human Resources, or mail to the company address. Please reference the requisition number and title of the position in the subject line of your submission. Equal Opportunity Employer/M/F/Disability/Protected Vet Invitation to Self-Identify In keeping with our commitment to Equal Employment Opportunity (EEO), Applied Physical Sciences invites all applicants to self-identify pre-offer as a protected veteran and/or an individual with a disability. Invitation to Self-Identify as Protected Veteran Online Form Invitation to Voluntary Self-Identification of Disability Online Form #J-18808-Ljbffr

A healthier future. It's what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That's what makes us Roche. Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche's Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximizing these opportunities. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness the transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide. The Opportunity At Roche's AI for Drug Discovery (AIDD) group (Prescient Design), we are revolutionizing drug discovery with cutting‑edge machine learning (ML) techniques. We are seeking talented scientists with a research background in ML, a passion for independent research and technical problem‑solving, and a proven ability to develop and implement ideas from research. AIDD's Foundation Model team is seeking an exceptional Principal ML Scientist to develop the next generation of multimodal foundation models & LLMs and enable the next generation of AI/ML‑powered drug discovery applications as part of our Lab‑in‑the‑Loop. We are looking for someone who is not only passionate about technical problem‑solving but also has a proven research track record. The ideal candidate should have extensive experience in both the science and engineering of ML, and be able to foster a culture of innovation, collaboration, and excellence across the broader Roche organization. The group provides a dynamic and challenging environment for multidisciplinary research, including access to heterogeneous data sources, close links to top academic institutions around the world, as well as collaborations with internal Genentech and Roche teams. In this role, you will: Participate in cutting‑edge research in machine learning with applications to drug discovery and development. You will collaborate closely with cross‑functional teams across Genentech and Roche to solve complex problems in multimodal and representation learning. You will provide technical leadership in machine learning, both in research and engineering, driving and shaping research directions for foundation model applications to drug discovery across Genentech and Roche. You will be expected to contribute to and drive publications, and present results at internal and external scientific conferences. Who You Are Ph.D. in Computer Science, Statistics, Applied Mathematics, Physics, related technical field, or equivalent practical experience. At least 2-7 years of relevant work experience. Strong publication record and experience contributing to research communities, including conferences like NeurIPS, ICML, ICLR, AISTATS, UAI, CVPR, ACL, etc., including at least one first‑author publication or equivalent. Strong programming skills in languages like Python, C++, Java, or Go. Extensive experience with deep learning frameworks like PyTorch. Preferred Intense curiosity about the biology of disease, drug discovery, and development Passion to contribute to scientific and computational efforts. Relocation benefits are available for this job posting The expected salary range for this position, based on the primary location of New York City, is $185,600 - 344,600 of hiring range. Actual pay will be determined based on experience, qualifications, geographic location, and other job‑related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below. Benefits #ComputationCoE #tech4lifeComputationalScience #tech4lifeAI Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws. If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants. #J-18808-Ljbffr

Qubit Pharmaceuticals is a French-American deeptech startup, focusing on discovering novel molecules for complex targets in healthcare and materials science. We leverage proprietary molecular simulation and quantum-physics based modeling technology to develop our own discovery programs that we either co-develop with or license out to pharmaceutical and industrial partners. This enables us to design more effective and safer drug candidates, aiming to significantly reduce the time and investment needed for discovery. In just 18 months, Qubit Pharmaceuticals grew its portfolio to 7 programs in oncology, immunology & antivirals. Our cutting-edge technology is based on over 30 years of research by our academic founders, and relies on three main components: in-depth expertise in computational science and high-performance computing (HPC), quantum chemistry and artificial intelligence algorithms, and a powerful, automated cloud platform for molecular simulation with chemical accuracy. We recently announced the launch of the world's most powerful AI foundation model for molecular simulation. Qubit Pharmaceuticals is looking for an Senior Machine Learning and Quantum Chemistry Scientist to lead the development of foundation models for chemistry. The perfect fit for this job At Qubit Pharmaceuticals, we are looking for a Senior Machine Learning and Quantum Chemistry Scientist who is quick at adapting to new challenges and issues. This person will be eager to learn, meet the needs of users, and work in a collaborative process with teammates and across multiple teams. Your role As a member of the Research team, you will be responsible for the Quantum Chemistry Foundation Model development, including molecules quantum datasets selection, model training, coding, testing and validation. Develop new methods to solve practical and challenging problems in Machine Learning and Quantum Chemistry applied to chemistry & drug discovery Communicate the results of your research by filing patent applications, publishing peer-reviewed papers and giving presentations at research conferences Provide technical support to users Your qualifications and skills Master degree or equivalent in Applied Maths / Computer Science / Chemistry PhD in Quantum Chemistry and Machine learning is strongly preferred Minimum of 5 years work experience (including PhD) is required Knowledge of quantum chemistry is strongly preferred Proficiency in active learning, architecture, and training methods, related to Machine Learning Force Field, Machine Learning Interaction Potentials, Neural Networks Potentials Ability to motivate and lead a project team Excellent communication skills for explaining complex concepts to non-specialists Agility in a startup environment (changing priorities, multiple projects) Open-source code development and maintenance is valuable The proposal benefits & perks Duration: Full time - Permanent Starting from October 2025 Salary according to profile Health insurance and provident fund 100% covered Lunch vouchers worth €9 covered at 50%. Location: Paris 14th arrondissement / Boston Possibility of remote work for 2 days per week. #J-18808-Ljbffr

Join Axon and be a Force for Good. At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact We are seeking highly skilled and innovative Computer Vision and Machine Learning Scientist to join our AI team, focusing on AI applications in Cloud, Devices and Robotics. As a key member of our research and development efforts, you will play a crucial role in advancing the state-of-the-art in Multimodal Large Language Models (MLLMs), Computer Vision technologies for our cloud, devices and robotics. You will collaborate with cross-functional teams to design, develop, and deploy cutting-edge computer vision algorithms and solutions that enable intelligent perception and understanding of visual data. What You'll Do Location: Hybrid in Seattle OR Remotely from the US Reports to: Senior Manager, Research Science Own one or more key technical areas across CVML product portfolio. Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful CVML product feature. Research and develop cutting-edge techniques in MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources. Design and implement efficient and scalable MLLM models for inference and analysis of visual data. Explore novel approaches to address challenges in object detection, recognition, tracking, segmentation, and scene understanding. Optimize algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices. Join forces with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures. Evaluate the performance of MLLM models using real-world datasets and design experiments to validate their effectiveness. Stay up-to-date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects. Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community. Experience coach and mentor junior scientists. What You Bring PhD and with +8 year experience in Computer Science or a related field with a focus on MLLMs, computer vision, machine learning, or artificial intelligence. Proven track record of research excellence in machine learning, computer vision, robotics perception, demonstrated through publications in top-tier conferences or journals. Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system. Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end-to-end training pipeline. Leverage state-of-the-art research to deliver high quality models enabling multiple AI projects at scale. Contribute back to the research community via academic publications, tech blogs, open-source code and contributing to internal/external AI challenges Experience in developing computer vision algorithms for resource-constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable. Excellent problem-solving skills, analytical thinking, and the ability to work autonomously as well as collaboratively in a team environment. Well-developed communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences. Benefits that Benefit You Competitive salary and 401k with employer match Discretionary paid time off Paid parental leave for all Medical, Dental, Vision plans Fitness Programs Emotional & Mental Wellness support Learning & Development programs And yes, we have snacks in our offices Benefits listed herein may vary depending on the nature of your employment and the location where you work The Pay: Axon is a total compensation company, meaning compensation is made up of base pay, bonus, and stock awards. The starting base pay for this role is between USD 181,000 in the lowest geographic market and USD 266,000 in the highest geographic market.The actual base pay is dependent upon many factors, such as: level, function, training, transferable skills, work experience, business needs, geographic market, and often a combination of all these factors. Our benefits offer an array of options to help support you physically, financially and emotionally through the big milestones and in your everyday life. To see more details on our benefits offerings please visit ****************************** Don't meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve. Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the . If you're excited about this role and our mission to Protect Life but your experience doesn't align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Important Notes The above is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions. Some roles may also require legal eligibility to work in a firearms environment. Axon's mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon's impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment. We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We're committed to hiring the best talent - regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances - and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please ***************************. Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes. #J-18808-Ljbffr

About the Company We are seeking a motivated Entry-Level Lab Scientist to join our Immunology team. The successful candidate will support experimental workflows focused on immune cell isolation, culture, differentiation, and functional characterization. This role is ideal for individuals passionate about cellular immunology and eager to learn advanced techniques in a collaborative research environment. About the Role The successful candidate will support experimental workflows focused on immune cell isolation, culture, differentiation, and functional characterization. Responsibilities Immune Cell Isolation: Isolate immune cells (e.g., PBMCs, T cells, NK cells, monocytes) from whole blood using standard immunomagnetic or density gradient methods. Cell Culture & Differentiation: Maintain and culture primary immune cells under sterile conditions. Differentiate monocytes into macrophages or dendritic cells as needed. Phenotypic Analysis: Prepare samples for flow cytometry, including staining panels for immune markers. Operate flow cytometers and analyze data to assess cell phenotype and viability. Functional Assays: Set up immune cell-based killing assays (e.g., NK-cell cytotoxicity, T-cell killing) using appropriate target cells. Document observations, interpret results, and maintain accurate records. Compliance & Safety: Follow SOPs and good tissue culture practices. Ensure adherence to biosafety and company policies. Qualifications Education: Bachelor's degree in Biology, Immunology, Biotechnology, or related field. Required Skills Basic laboratory skills and aseptic technique. Familiarity with immune cell isolation and flow cytometry preferred. Ability to learn and adapt to new protocols quickly. Strong attention to detail, organizational skills, and ability to work in a team environment. Effective oral and written communication skills. Preferred Skills Exposure to immune cell-based assays or cytotoxicity testing. Knowledge of data analysis tools for flow cytometry.

A prominent pharmaceutical company is seeking a Translational PET Imaging Scientist to lead clinical implementation of novel PET tracers in oncology studies. Responsibilities include developing imaging strategies, overseeing studies, and managing regulatory submissions. The ideal candidate should hold a Ph.D. and have extensive experience in advancing PET tracers into clinical trials with proven project leadership. This role offers a hybrid work model and a competitive salary range. #J-18808-Ljbffr

A consulting firm specializing in healthcare seeks a Senior Consultant in Boston, MA. The role involves managing research efforts, mentoring junior consultants, and providing strategic insights to clients. Candidates should have an advanced degree or relevant experience in life sciences consulting, strong data synthesis abilities, and excellent communication skills. The position offers a competitive salary starting at $128,000 plus bonus potential, making it an attractive opportunity for professionals in the biopharmaceutical industry. #J-18808-Ljbffr

Discover Veranova: At Veranova, we believe people are our most important asset, and we are dedicated to building the most talented workforce in our industry. Our commitment to uncompromising focus on quality, compliance, safety, and excellence in delivery shapes everything we do. We are not just looking for skills; we are seeking innovative individuals who have a mindset open to learning and growth, and a desire to make a difference. Veranova is a global leader in the development and manufacturing of complex active pharmaceutical ingredients (APIs) for pharma and biotech customers. With deep technical expertise and impressive flexibility, we develop solutions and processes that support and accelerate innovation. Join us on our mission to enable current and next-generation therapeutics to improve and save the lives of patients. Role Overview: The Process R&D Scientist plays a key role in developing and optimizing synthetic routes for complex active pharmaceutical ingredients (APIs). This position conducts small- to large-scale chemical reactions and generates high-quality data that supports project decision-making and innovation. Working under the guidance of technical leads, the role contributes to delivering projects on time, on spec, and within budget. It's an excellent opportunity to deepen expertise while supporting impactful pharmaceutical development. Core Responsibilities: Delivers experimental output with high scientific integrity, meeting targets, timelines, and quality expectations with guidance. Exhibits strong safety awareness, conducts laboratory and operational activities safely, and maintains accountability for safe behavior in the work environment. Maintains technical equipment and related services to ensure proper functionality. Acts on feedback and demonstrates a continuous commitment to learning and professional development. Leads technical and operational areas and supports troubleshooting for complex scientific issues with minimal guidance. Shares knowledge, skills, and experience effectively with internal and external stakeholders; may lead focused projects as a key contact. Keeps accurate, legible, and complete records of all experiments, observations, and equipment use. Writes high-quality reports and delivers presentations to customers and management with some guidance, aligned with project milestones. Contributes to maintaining strong customer relationships and identifies new commercial opportunities. Actively supports the technical development of the department and the broader organization. Ensures all documentation meets Veranova standards; supports audit readiness and participates in regulatory and customer audits as needed; reports near misses and safety incidents per company procedures; and ensures all work complies with applicable state and federal regulations, including GMP, DEA, and FDA requirements. Adheres to all EHS policies and procedures; demonstrates strong technical and procedural proficiency in applying EHS standards; supports EHS audit readiness and participates in audits; reports and cooperates fully in investigations of near misses and incidents; and upholds Veranova's EHS commitments by integrating ISO 14001, OHSAS 18001, and Sustainability 2025 principles into daily work. Performs additional duties within the employee's skills and abilities as reasonably assigned. Qualifications: Required PhD degree (or equivalent experience) in a chemistry related discipline. Proficiency with relevant lab and analytical techniques. Previous industry experience in relevant areas. Proficiency with relevant analytical techniques within an industry environment. Ability to write clear and concise technical reports. Good understanding of Microsoft Office and other relevant technical software platforms. Skilled in written and spoken communication and proven ability to effectively interact with management. Demonstrates good judgment, quick decision-making skills, and the ability to work independently and in a team environment. Special Factors Must be able to stand, walk, and manually operate objects, tools, or controls; reach with hands or arms; and climb, balance, stoop, kneel, or crouch when necessary for the job activity. Must be able to lift and/or move up to 50 pounds. Specific vision abilities include near, distance, peripheral, color perception, and the ability to adjust focus. May regularly work with moving mechanical parts and may work with toxic or caustic chemicals. May work in humid areas with low or high temperatures. May be required to work with a respirator or operate with full-body Tyvek suits and supplied air or PAPR. Salary Range : $105,000 - $120,000 annual base salary Our Commitment: Health & Wellness: Comprehensive health & wellness benefits. Access to mental health resources and wellness programs. Generous PTO and holiday pay policies. Financial Wellness: Veranova is committed to fair and transparent compensation practices. This includes a competitive base salary, eligibility for performance-based bonuses, and an attractive 401(k) Plan with company match. Salary ranges reflect the scope and expectations of the role, and are based on market data, internal equity, and role-specific factors. Final compensation may vary depending on experience, skills, education, and business needs. Professional Development: Opportunities for continuous learning through LinkedIn Learning, workshops, conferences, and mentorship. Tuition Assistance for Undergraduate and Graduate degree programs. Inclusive Culture: At Veranova, an inclusive culture is integral to our values. We welcome people with diverse experiences and perspectives who share our mission to improve and save lives. Even if you don't meet every qualification, we encourage you to apply. Veterans, first responders, and those transitioning from military to civilian life bring valuable skills that strengthen our team. Additional Information: Applicants for this role must be authorized to work in the United States without further employer sponsorship. Agency and Search Firm Representatives: Veranova does not accept unsolicited resumes from agencies and/or search firms for this job posting. All your information will be kept confidential according to EEO guidelines. Veranova is an Equal Opportunity Employer. It is the policy of Veranova to provide equal employment access and opportunity to all persons regardless of age, race, color, national origin, religion, sex, sexual orientation, gender identity and/or expression, physical or mental disability, genetic information, citizenship, marital status, veteran status, or any other characteristic protected by federal, state, or local law. All applications are carefully considered, and your details will be stored on our secure Application Management System. This is used throughout Veranova for the selection of suitable candidates for our vacancies as they arise. Veranova respects your privacy and is committed to protecting your personal information. For more information about how your personal data is used please view our privacy notice .

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

The Company We are Alloy Therapeutics-a biotechnology ecosystem company empowering the global scientific community to make better medicines together. Through a community of partners, we democratize access to pre-competitive tools, technologies, services, and company creation capabilities that are foundational for discovering and developing therapeutic biologics. The company facilitates affordable, non-exclusive access to the entire drug discovery community from academic scientists, small and medium biotech, to the largest biopharma. At Alloy, we believe our industry should compete on getting the best drugs to patients as quickly as possible, not exclusive access to the best platforms. As a reflection of our relentless commitment to the scientific community, we reinvest 100% of our revenue in innovation and access to innovation. MAY THE BEST DRUG WIN. Alloy is headquartered in Waltham, MA with additional labs in Cambridge, UK; Basel, Switzerland, and Athens, GA. Successful members thrive in our shared culture of accountability, deliberate trust, and open communication. As a team we aspire to work together to exceed expectations and collectively contribute across the global organization to always maintain our nimble, startup culture. This is an on-site and full-time position in Waltham, MA. At Alloy, we have an ethos of "Mentorship-By-Apprenticeship" in all of our positions. We strive to have workers in the office when needed to interact organically and face-to-face. Of course, as a lab-based operation, our cells and animals grow 7 days a week, 365 days per year. We respect and value our colleagues for their hard work that requires them to be in the lab every day. We ask our people who have more flexible accommodations, like this position, to appreciate their colleagues who have less flexibility. We are all one team! The Team The Alloy Genetic Medicines group is innovating a novel RNA-based drug discovery platform, namely "AntiClastic", spanning the fields of antisense therapeutics to immunomodulating therapeutics. This technology platform was launched by Alloy in 2023 after exclusively licensing its underlying intellectual property which implements a novel spatial conformation of the oligonucleotide developed by Sudhir Agrawal of Arnay Sciences. The team works closely with external partners to discover and develop AntiClastic RNA medicines. The Role This position reports to the Head of Nucleic Acid Chemistry. We are seeking a detail-oriented Nucleic Acid Chemistry Scientist to join our growing Nucleic Acid Chemistry team supporting the CMC development of oligonucleotides, mRNA, pDNA templates, and antibody-oligonucleotide conjugates (AOCs). The successful candidate will bring strong hands-on expertise in synthesis and purification of nucleic acids, as well as HPLC and LC-MS analytics for RNA, DNA, and nucleic acid medicines. You will have a proven track record of developing, documenting, qualifying, and troubleshooting analytical methods and production processes in a fast-paced industrial environment. This role also requires experience working with and managing Contract Research Organizations (CROs), and developing/synthesizing reference materials to enable method development and program progression. This role may be filled at Scientist I or Scientist II depending on experience and demonstrated level of independence. Principal Responsibilities Synthesis and Process Development * pDNA Production: Execute microbial fermentation (E. coli) for plasmid DNA amplification; perform harvesting, lysis, and purification of pDNA. * Linearization: Perform enzymatic restriction digests to linearize pDNA templates for downstream transcription. * mRNA Synthesis: Lead in vitro transcription (IVT) reactions to produce mRNA, including enzymatic capping (Cap 1) and poly-adenylation. * Oligonucleotide: Execute procedures to synthesize oligonucleotides. * Purification: Utilize TFF (Tangential Flow Filtration) and chromatography (IEX, HIC, or Affinity) to purify intermediates and finished products from process-related impurities. Analytical Method Development & Qualification * Develop, optimize, document, qualify, and transfer phase-appropriate analytical methods to support CMC activities for oligonucleotides, mRNA, pDNA, and AOCs. * Design fit-for-purpose methods for identity, purity, integrity, potency/assay, and stability, including forced-degradation studies. * Lead method qualification/verification activities for nucleic acid CQAs (e.g., product related purity, drug antibody ratios, mRNA capping efficiency, poly-A tail length, and residual template DNA). * Execute and interpret analyses using HPLC/UPLC modalities (e.g., IPRP, AE, IEX, HILIC, SEC). * Perform and interpret LC-MS analyses for intact oligos, mRNA mapping, sequence confirmation, impurity ID, and conjugate characterization. * Independently troubleshoot instrument and method issues, ensuring data integrity and project continuity. Reference Materials Development * Develop, qualify, and maintain analytical reference materials (e.g., standards, system suitability controls, impurity markers) to support method development, stability programs, and release testing. * Coordinate and/or perform internal synthesis (chemical or enzymatic) of oligonucleotide and mRNA reference materials and related controls. * CRO / External Partner Management * Work effectively with and manage CRO/CDMO partners executing analytical studies, method development, or mRNA/pDNA manufacturing. * Author, review, and approve CRO protocols, reports, data packages, and method documentation. Documentation & Data Integrity * Document experiments in real time with excellent attention to detail in electronic lab notebooks. * Support regulatory-compliant documentation for IND/BLA/MAA filings and respond to technical inquiries. Qualifications * Ph.D. in Analytical Chemistry, Biochemistry, Molecular Biology, or related field with 2-5 years of industry experience in nucleic acid synthesis or analytical development. * Hands-on experience in pDNA, mRNA, and oligonucleotide production: Including microbial fermentation, pDNA purification, linearization, and in vitro transcription (IVT), solid-phase synthesis, & lyophilization. * Extensive hands-on experience with HPLC/UPLC and LC-MS applied to mRNA, pDNA, oligonucleotides, and/or oligonucleotide conjugates. * Demonstrated success developing and qualifying analytical methods for nucleic acids (e.g., Capillary Electrophoresis/Fragment Analyzer for mRNA integrity). * Experience developing, synthesizing/sourcing, characterizing, and maintaining reference materials/standards. * Proven experience working with and managing CRO and/or CDMO partners. * Strong understanding of nucleic acid challenges (e.g., RNase-free handling, secondary structures, ion-pairing reagents, sequence variants, and conjugation heterogeneity). * Experience with antibody-oligonucleotide conjugates (AOCs) and LNP-formulated mRNA. (Preferred) * Familiarity with GMP/GLP environments and regulatory expectations for method lifecycle management. (Preferred) * Hands-on knowledge of complementary techniques (e.g., qPCR/dd PCR, SEC-MALS, and biophysical assays). (Preferred) Taking Care of Our People We support the individuality of what people need to do outside of work to empower them to do their best at work. While you focus on making better medicine together, we focus on programs and benefits that support a diverse and growing team. Whether you're single, in a growing family, or nearing retirement, Alloy offers a variety of comprehensive and competitive benefits starting from day one. Compensation * Competitive base and equity compensation commensurate with level of experience and independence * 401(k) company match Health & Family * Generous personal and family medical, dental and vision benefits with 100% of premiums and deductibles covered * Company-paid disability (STD, LTD) and life insurance * Paid parental leave * Family planning support up to $45,000 (e.g., IVF/PGT, adoption, surrogacy, egg retrieval) Unique Perks * Unlimited PTO (paid time off) and flexible schedules * Annual stipend for continuing education with commitment to your career through individualized professional development plan * Wellness and Extensive Employee Assistance Program (EAP) including resources for mental wellness Pay Transparency At Alloy Therapeutics, we believe in fostering trust and open communication. For this role, the estimated annual base salary range is $126,000 - $144,000 with the final offer based on factors like your experience, skills, and alignment with our needs. Additionally, this role is eligible for equity compensation, reflecting our commitment to shared success as we work together to make better medicines. We are proud to offer competitive compensation and benefits, aiming to support our team's professional and personal well-being. If you have any questions about pay or benefits, we're here to help. Alloy Therapeutics is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at [email protected]. We will make every effort to respond to your request for disability assistance as soon as possible.

Title: Toxicologist The Toxicologist will play a critical role in the assessment of the safety profile of small molecule drug candidates throughout the drug development process. This position requires a deep understanding of toxicological principles, regulatory requirements, and the ability to interpret complex data to inform decision-making. Responsibilities Conduct comprehensive toxicological evaluations of small molecules Analyze data from non-clinical studies to identify potential safety concerns and recommend strategies for risk mitigation. Prepare toxicology sections for regulatory submissions (INDs, NDAs) in accordance with FDA, EMA, and ICH guidelines. This will include liaising with the regulatory agencies related to toxicological data. Participate in project teams to provide expert advice on safety-related issues throughout the product lifecycle. Conduct risk assessments based on toxicological data to support decision-making processes regarding compound progression Profile Ph.D. or equivalent degree in Toxicology, Pharmacology, or a related field Mulitple years experience in the pharmaceutical or biotechnology industry. Small molecules experience Strong knowledge of GLP regulations, ICH guidelines, and FDA/EMA submission requirements. Experience working directly with regulatory agencies is an advantage. Benefits: Competitive salary with performance-based bonuses and comprehensive benefits package Home office option Excellent company culture

The Center for Cancer Genomics (CCG) at Dana-Farber Cancer Institute facilitates genomic discoveries in cancer using novel technology platforms to assist researchers in both genome-wide and gene-focused efforts. Technologies are selected and developed with a view to research-oriented ventures, as well as translational medicine and clinical relevance. Our clinical and research environments currently use state-of-the-art massively parallel sequencing assays of DNA and RNA from patient tumor samples. Data from these environments are used to advance research on both adult and pediatric cancers, improve our understanding of cancer biology, and advance the field of precision cancer medicine. This opportunity offers the chance to work at the forefront of translational cancer technologies and applications, in an informatics group that enables analyses in both arenas. Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS, and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. + Performs complex informatics tasks independently + Data analysis, data management, data visualization, or processing of large-scale biological, medical, and/or operational data + Generation of professionally written and graphical reports + Manages ongoing stakeholder/client interactions + Uses peers, academic literature, and online resources for troubleshooting + Works easily with others as part of a larger project team + Contributes expertise to DFCI software code base and communities of practice + Maintains a set of software tools or databases used by others and instructing others in their use **KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:** + Computational and data analysis: Expert + Data management and/or software engineering: Expert + Collaboration and communication: Able to set appropriate expectations, discuss and present results to customers in formal settings, and share ideas accurately and communicate them effectively, both in writing and verbally + Contributes to the development and growth of others + Strong interpersonal skills, ability to effectively interact with all levels of staff and external contacts + Excellent analytical, organizational and time management skills **MINIMUM JOB QUALIFICATIONS:** The position requires a bachelor's degree in a STEM field, with a master's or PhD strongly preferred in areas like bioinformatics, computational biology, or related quantitative fields. Candidates must have 3 years of experience, though a master's degree with 1 year of experience or a PhD with no experience also qualifies. **SUPERVISORY RESPONSIBILITIES:** None **PATIENT CONTACT:** None At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff who offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and compassionate professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. **EEO Poster** . Pay Transparency Statement The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate's relevant experience, skills and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA). $83,800.00 - $90,800.00

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

A leading healthcare institution in Boston seeks a Sr. Principal Scientist to oversee operations in a GMP lab, focusing on the production and quality control of radiopharmaceuticals. The ideal candidate will have extensive experience in aseptic operations, knowledge of QC methodologies, and a strong educational background in pharmaceuticals. This role requires meticulous documentation, adherence to GMP standards, and the ability to thrive in a fast-paced environment, contributing to pioneering advancements in patient care. #J-18808-Ljbffr

A biotechnology company in Waltham, MA is seeking a Principal Scientist in ADME-PK to enhance drug delivery to muscle and CNS tissues. The successful candidate will design preclinical studies, author regulatory documents, and collaborate across various teams. Candidates should possess a PhD in a relevant field and over 6 years of industry experience, with expertise in pharmacokinetics and drug metabolism. This role offers a competitive salary in the range of $159,000 to $195,000 USD depending on experience. #J-18808-Ljbffr

A leading healthcare technology firm in Boston seeks an Associate Principal Scientist to advance drug R&D through computational research. The ideal candidate will leverage the Tempus platform to analyze diverse datasets, ensuring actionable insights for clients. This role requires a Masters or Ph.D. in areas like Bioinformatics or Data Science, proficiency in R or Python, and comfort in client interactions. A competitive salary range of $170,000-$230,000 reflects the expertise required for this role, alongside comprehensive benefits. #J-18808-Ljbffr

Discover Veranova: At Veranova, we believe people are our most important asset, and we are dedicated to building the most talented workforce in our industry. Our commitment to uncompromising focus on quality, compliance, safety, and excellence in delivery shapes everything we do. We are not just looking for skills; we are seeking innovative individuals who have a mindset open to learning and growth, and a desire to make a difference. Veranova is a global leader in the development and manufacturing of complex active pharmaceutical ingredients (APIs) for pharma and biotech customers. With deep technical expertise and impressive flexibility, we develop solutions and processes that support and accelerate innovation. Join us on our mission to enable current and next-generation therapeutics to improve and save the lives of patients. Role Overview: The Scientist role within the Chemical Development group will focus on the synthesis, process development, and analytical strategy for protected phosphoramidite precursors used in therapeutic oligonucleotide API manufacturing. This position is key to building Veranova's commercial capability in producing high-quality oligonucleotide building blocks. The ideal candidate will have strong expertise in phosphoramidite chemistry, including impurity profiling and customer-specific requirements. This role will also collaborate closely with the Analytical Team to establish robust characterization and control strategies that ensure exceptional product quality. Core Responsibilities: Develop and optimize synthetic routes for protected Phosphoramidite subunits used in therapeutic oligonucleotide API synthesis. Identify and mitigate side reactions commonly associated with Phosphoramidite chemistry. Define and implement specifications aligned with customer expectations for commercial-grade oligonucleotide precursors. Provide expert guidance to the Analytical Team on the selection and application of appropriate analytical methods for product and impurity characterization, based on prior experience and industry standards. Collaborate with cross-functional teams including Analytical Development, Quality, and Manufacturing to ensure successful scale-up and tech transfer. Prepare technical documentation including batch records, specifications, and development reports in accordance with SOPs and cGMP guidelines. Present scientific findings and project updates to internal stakeholders and external customers. Support the establishment of quality and regulatory standards for commercial production of oligonucleotide precursors. Contribute to project planning, budgeting, and timeline management for precursor development programs. Other duties as assigned . Qualifications: Required BS in Organic Chemistry or equivalent with 3-5 years related experience in a pharmaceutical industry, or MS in Organic Chemistry or equivalent with 0-2 years related experience in the pharmaceutical industry. Ability to read, analyze, and interpret English-language chemical periodicals, scientific journals, and regulatory documents. Experience with organic synthesis and process development Experience with common analytical techniques such as HPLC, GC, NMR, UV, and LC-MS. Experience in establishing integrated plans with defined resources and tasks. Ability to write clear and concise technical reports. Good understanding of Microsoft Office and statistical software. Demonstrate ability to exercise good judgment and make decisions quickly. Good written and verbal communication skills. Ability to work independently and in a team environment. Salary Range : $110,000 - $120,000 annual base salary Our Commitment: Health & Wellness: Comprehensive health & wellness benefits. Access to mental health resources and wellness programs. Generous PTO and holiday pay policies. Financial Wellness: Veranova is committed to fair and transparent compensation practices. This includes a competitive base salary, eligibility for performance-based bonuses, and an attractive 401(k) Plan with company match. Salary ranges reflect the scope and expectations of the role, and are based on market data, internal equity, and role-specific factors. Final compensation may vary depending on experience, skills, education, and business needs. Professional Development: Opportunities for continuous learning through LinkedIn Learning, workshops, conferences, and mentorship. Tuition Assistance for Undergraduate and Graduate degree programs. Inclusive Culture: At Veranova, an inclusive culture is integral to our values. We welcome people with diverse experiences and perspectives who share our mission to improve and save lives. Even if you don't meet every qualification, we encourage you to apply. Veterans, first responders, and those transitioning from military to civilian life bring valuable skills that strengthen our team. Additional Information: Applicants for this role must be authorized to work in the United States without further employer sponsorship. Agency and Search Firm Representatives: Veranova does not accept unsolicited resumes from agencies and/or search firms for this job posting. All your information will be kept confidential according to EEO guidelines. Veranova is an Equal Opportunity Employer. It is the policy of Veranova to provide equal employment access and opportunity to all persons regardless of age, race, color, national origin, religion, sex, sexual orientation, gender identity and/or expression, physical or mental disability, genetic information, citizenship, marital status, veteran status, or any other characteristic protected by federal, state, or local law. All applications are carefully considered, and your details will be stored on our secure Application Management System. This is used throughout Veranova for the selection of suitable candidates for our vacancies as they arise. Veranova respects your privacy and is committed to protecting your personal information. For more information about how your personal data is used please view our privacy notice .