Post doctoral researcher jobs near me - 160 jobs

Suffolk University's Counseling, Health & Wellness Center (CHW) is recruiting a Post-Doctoral Fellow to join our dynamic and busy integrated college health center. The Post-Doctoral Fellow serves as a member of the Counseling Services team and reports to the Assistant Director of Training and DEI. This position offers extensive professional experience providing direct services to a diverse population of graduate and undergraduate students utilizing inclusive and multicultural approaches to counseling, outreach, and supervision. The Post-Doctoral Fellow will provide direct psychological services to Suffolk students, including initial assessments, individual counseling, group therapy, and crisis intervention. The Post-Doctoral Fellow will serve in the Counselor-on-Call rotation and participate in the response to campus mental health emergencies alongside licensed staff. Additionally, the Post-Doctoral Fellow will provide outreach and consultation to the entire campus community regarding student mental health and wellness. A specific focus for the Post-Doctoral Fellow will be to provide consultation to campus offices serving Suffolk students with marginalized identities, such as BIPOC, LGBTQIA+, First Generation, and others. CHW's Post-Doctoral Fellow will also participate in the provision of supervision and training to CHW's Practicum Training Program, serving Suffolk's Ph.D. students in clinical psychology. The Post-Doctoral Fellow will provide individual supervision and provide didactic trainings related to college mental health. The Post-Doctoral Fellow will participate in training team meetings and receive supervision regarding their provision of supervision and didactic training. Successful candidates for this position will have completed an APA-accredited Doctoral Internship and/or at least 1 year of experience in college counseling. Experience and interest in providing outreach and consultation related to meeting the needs of diverse students is required. Successful candidates will bring a demonstrated commitment to diversity, equity, and inclusion, as well as the application of social justice and antiracist concepts in clinical and higher education settings. Candidates should also have developed experience and skills in multicultural counseling approaches, self-awareness and reflection and the ability to engage in difficult dialogues. Responsibilities Participates in receipt of clinical supervision (3 hours), case consultation, didactic opportunities, and other training requirements. Provides short-term psychological counseling services to diverse students in individual and group modalities; develops short-term treatment plans and urgent care behavioral risk assessments/consultations via Center walk-ins and after-hours on-call service; provides case management and off-campus referrals for students. Serves in the center-wide, after-hours, on-call rotation system in conjunction with ProtoCall Services, a contracted professional mental health on-call service. Develops and maintains relationships with various campus offices serving students with marginalized identities including BIPOC, LGBTQIA+, and/or First Generation students. Develops inclusive opportunities for outreach or clinical services in collaboration with campus partners. Provides psycho-educational and holistic health outreach programs to students, faculty and staff. Serves as a member of the supervisory training team for practicum students including provision of clinical supervision and didactic instruction. Maintains timely and thorough client contact documentation compliant with Center policies and procedures and applicable state laws. Provides campus support services as needed during times of campus crises and/or psychological emergencies. Attends Center and Student Affairs Division meetings and professional development programs. Maintain ethical/professional conduct and interaction with all University community members. Other duties as assigned by the Director of Counseling, Health and Wellness. Requirements: Completion of an APA-accredited Doctoral Internship. Ph.D., Ed.D. or Psy.D. in Counseling or Clinical Psychology Degree completed including successful dissertation defense required prior to starting the Post-Doctoral Fellowship. Training and experience in providing short-term psychotherapy, group therapy and crisis response for diverse adolescents and young adults, preferably with college and university students. Demonstrated ability to assess and treat students with a broad range of diagnoses utilizing a culturally inclusive counseling approaches. Demonstrated experience and interest in outreach and consultation serving diverse students and providing clinical supervision. Strong student service orientation. Excellent interpersonal, communication, and self-reflection skills. Availability to attend occasional evening or weekend activities. Preferred Qualifications: Interest in the integration of counseling and health services on a college campus. Demonstrated commitment to social justice and lifelong learning regarding multicultural issues and concerns. Interest in the application and integration of social justice in counseling center work. Proficiency in a second language. Expertise in an Empirically Supported Treatment modality and an interest in didactic teaching of that modality to interns (e.g. CBT, DBT, ACT, or others). Other Information CHW staff work on-site 5 days/week during the academic semesters. During winter and summer breaks, remote work is encouraged while sustaining minimum on-site staffing. Ability to work occasional evenings, weekends, and holidays to address emergent student concerns and/or deliver CHW programs to campus constituencies. Salary: $57,000.00

SmarterDx, a Smarter Technologies company, builds clinical AI that is transforming how hospitals translate care into payment. Founded by physicians in 2020, our platform connects clinical context with revenue intelligence, helping health systems recover millions in missed revenue, improve quality scores, and appeal every denial. Become a Smartian and help optimize the way the healthcare system works for everyone. Learn more at smarterdx.com/careers. Role As a Machine Learning Research Scientist, you will lead groundbreaking ML research and development at SmarterDx, collaborating closely with experienced engineers and clinicians to turn your inventions into enterprise-grade products. With minimal supervision, you will establish a research agenda informed by emerging trends in AI, develop and rigorously evaluate your proposed algorithms, deploy your algorithms into production, and monitor impact. You will collaborate closely with other machine learning research scientists to identify the most promising areas of AI/ML R&D for SmarterDx and establish shared infrastructure to accelerate research efforts across the team. What You'll Do 45% Hands-on implementing new methods and relevant baseline models (ML Research) 20% Working cross-functionally to deploy models into production (MLOps, MLE) 20% Data Science (data engineering, dataset curation, experimental design, model updates, product domain expertise) 15% Academics & Outreach (e.g., scientific reading & writing, publishing, presenting at conferences, recruiting) Become a domain expert at clinical data and the healthcare ecosystem Own end to end model development including deployment into production and production monitoring, learning Machine Learning Operations (MLOps) Post training to align large language models (LLMs) on proprietary clinical data Develop new self-supervised pre-training tasks for improving models Develop novel retrieval, attribution and hallucination detection strategies for generative models Develop novel methods for explaining and summarizing diagnostic classifications Develop methods for selecting data sources to include in training (data-centric AI) Develop novel graph-based algorithms for improving classification of diseases and procedures with few or no labels Develop novel methods for multimodal data fusion (structured and unstructured data) Long-sequence language modeling What You Bring Desire to translate research into tangible positive impact by deploying research into production engineering systems (MLOps) With scientific concepts, technical debugging or domain knowledge, ability and desire to communicate clearly and proactively when conveying or receiving Deep “under-the-hood” understanding of modern neural network architectures and distributed training. ie knows the differences between SwiGLU vs. sigmoid, GRUs vs. transformers vs SSMs, encoders vs. decoders, masked language models vs. autoregressive language models, Megatron vs nanotron vs DeepSpeed Extensive experience developing, implementing and training state-of-the-art deep learning models using multiple GPUs and nodes if necessary for large language models with frameworks such as PyTorch, JAX, etc Ability to assess, understand and create high-quality machine learning research, as demonstrated through publications at top-tier conferences and journals (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, SIGIR, AAAI, NEJM AI, JAMIA, npj Digital Medicine, ar Xiv) Nice To Haves MLSys skills ie knows the differences between tensor vs pipeline vs data parallelism, gloo vs mpi vs nccl, CUDA vs ROCm, Triton vs ThunderKittens Familiarity with inference optimizations, ie vLLM, SGLang, continuous batching, KV Caching, speculative decoding Our Tech Stack PyTorch, Python, GitHub, Snowflake, Huggingface Transformers, AWS Sagemaker, Microsoft DeepSpeed, TorchTune, Apache Airflow, SLURM, Kubernetes Compensation $200-220k+ base salary #LI-Remote Benefits Medical, Dental & Vision - Comprehensive plans with leading insurance providers, covering 75% of your premiums, depending on the plan. Paid Parental Leave - Generous paid leave to support families through birth or adoption: Up to 12 weeks for parents. Remote-First Team - Work from anywhere in the U.S. Unlimited PTO & 10 Holidays - So you can relax and recharge. 401(k) with Traditional & Roth Options - Tax-advantaged retirement savings through Fidelity with a 4% match. Minimal Bureaucracy - A fast-moving, high-impact environment where you can focus on what matters. Incredible Teammates! - Work alongside smart, supportive, and mission-driven colleagues.

Organizational Unit: The USF Health College of Nursing is one of 14 colleges at the University of South Florida and one of four that make up USF Health. As a member of the prestigious Association of American Universities, USF is designated by the Carnegie Foundation as both a Research 1 and a Community-Engaged institution- reflecting its commitment to excellence in education, research, and service. Nationally recognized as a leader in nursing education and research, the College of Nursing serves more than 2,000 undergraduate, master's, and doctoral students each year. For the fourth consecutive year, our Master of Science in Nursing (MSN) program has been ranked No. 1 among Florida's public universities by U.S. News & World Report-rising to No. 23 in the nation in 2025. As an integral part of USF Health, the College of Nursing is guided by a mission grounded in excellence, innovation, and respect. We are dedicated to educating future nurses, advancing nursing science, and applying evidence-based practice to improve health outcomes and community well-being. Description: The College of Nursing at the University of South Florida (USF) enthusiastically invites applicants for a Postdoctoral Research Associate position. Successful applicants will be outstanding scholars from diverse backgrounds who desire a career in academic public health, with a focus on chronic disease prevention and management in clinic- and community-based settings, and whose work aligns with improving health outcomes, community-based participatory research, and stakeholder engagement to tailor evidence-based interventions in diverse settings. The position is full-time and benefits-eligible. The selected scholar will be involved in robust mentoring and work closely with an interdisciplinary faculty in the College of Nursing. The Scholar will have access to institutional and college resources, guidance from faculty mentors and access to workshops and seminars that foster research excellence. Additionally, the college offers career development opportunities, pilot grant awards, and networking opportunities. Application Instructions: 1. A cover letter addressing interest in the position. USF is committed to building a culturally diverse educational environment. Applicant's cover letter must explain how they will further this goal. The letter also should address the applicant's research interests within and outside of USF. 2. A curriculum vitae (CV). 3. A recent, scholarly writing sample (e.g., dissertation chapter, published peer-reviewed article on which you are the sole or primary author). 4. Three reference letters (letters may be uploaded as attachments to your application or may be emailed to Ranjita Misra (******************** ). Doctoral degree from an accredited institution and appropriate experience and training within a selected area of specialization. Must meet university criteria for appointment to the rank of Postdoctoral Fellow. The successful candidate must have completed PhD or equivalent in public health or related areas, a focus on chronic diseases and/or behavioral interventions, ability to work independently as well as work with a multidisciplinary team, excellent oral and written communication skills, interpersonal skills and experience with statistical and data management software, within the past 5 years - no earlier than August 15, 2020, and no later than August 15, 2025. The primary expectations for the Postdoctoral Scholar will be to collaborate on efforts to improve chronic disease prevention and management in community-based intervention studies and work closely with the primary mentor Dr. Ranjita Misra in the College of Nursing. Her research is focused on improving health outcomes related to diabetes, hypertension and cardiovascular diseases, planning and stakeholder engagement to tailor evidence-based interventions using community-based participatory approach in public health. The researcher will work primarily on chronic disease prevention and management, joining a multidisciplinary team of collaborators spanning expertise in chronic disease epidemiology, biostatistics, lifestyle medicine, mental health, and clinical biomarkers. Under the guidance of the faculty member, the successful applicant will apply their expertise to the design, implementation, analysis, interpretation, and reporting of intervention data to support both clinic- and community based clinical and randomized control trials. Pending successful completion of the hiring process and appropriate background checks, the researcher will be given the opportunity to collaborate on a wide range of projects depending on their expertise and interest. Potential projects include leveraging available datasets to evaluate local, state and national-level behavioral, psychosocial and clinical biomarkers, with particular attention to prevention and chronic disease self-care and patient-provider communications. Methodologically, projects are anticipated to benefit from novel approaches to identification, triangulation, or experimental designs.

This role is for one of our clients We are seeking STEM PhD experts to contribute to a pioneering AI research initiative focused on building agentic workflows - structured processes that capture expert reasoning and problem-solving approaches. These workflows will help design, evaluate, and enhance next-generation AI systems. Requirements Key Responsibilities: Translate your domain expertise into clear, structured instructions (SOPs, rubrics, evaluation criteria). Create realistic tasks and scenarios reflecting day-to-day professional activities in STEM fields. Collaborate with other experts to refine and validate workflows for clarity, accuracy, and reproducibility. Work with AI researchers and engineers to ensure workflows are operationalized into agent environments. Identify opportunities where AI can augment or replicate expert decision-making within your discipline. Qualifications: PhD (or equivalent advanced degree) in a STEM discipline (Chemistry, Physics, Biology, Mathematics, Engineering, or related fields). Strong ability to explain complex processes in a structured, step-by-step manner. Experience in research, teaching, or technical writing is a plus. Enthusiasm for bridging academic expertise with AI development. Opportunity Details: Time commitment: ~10 hours/week for 3 weeks Fully remote with flexible scheduling Option to extend engagement as project needs evolve Compensation & Contract Terms: Competitive hourly compensation (exact rates confirmed during onboarding) Payments for services rendered via Stripe Connect Engagement structured as an independent contractor role

General Postdoctoral Researcher - $90/hr Remote - Alignerr - Location: RemoteAbout the job At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models.Organization: Alignerr Position: General Postdoctoral Researcher (Masters/PhDs) Type: Hourly Contract Compensation: $75-$90 /hour Location: Remote Commitment: 10-40 hours/week Role Responsibilities (Training support will be provided)- Develop, solve, and review advanced problems across various academic and professional domains with real-world relevance. - Apply high-level research expertise to design complex problem statements that challenge and improve AI reasoning. - Collaborate asynchronously with AI researchers and domain experts to enhance AI model performance. - Ensure academic rigor, clarity, and depth across all deliverables.Requirements- Master's or PhD in a STEM or highly technical field from a top U.S. university (or equivalent). - Strong track record of research, publications, or complex project management. - Exceptional written and verbal communication skills with strong attention to detail. - Fluent in English and currently based in the U.S., Canada, New Zealand, U.K., or Australia.Preferred:- Prior experience with data annotation, data quality, or evaluation systems- Experience coding in Python, R, or other research-oriented languages. Application Process (Takes 15-20 min)- Submit your resume - Complete a short screening - Project matching and onboarding PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Spotify has more than 600M listeners in more than 180 markets around the world, who use our music, podcast, and audiobook services to find what delights, entertains, educates, and informs them. Personalization is a high impact organization that provides the technology to serve them what they expect to find, to help them explore and find new things to enjoy, and to suggest things they might not be aware of that they would like. We are looking for a Research Scientist with a machine learning background to help us improve personalization experiences by integrating and optimizing state-of-the-art generative AI technologies into our recommender systems. You will join a team of machine learning researchers whose focus is on innovating the Spotify experience through researching and developing technologies that power intelligent user experiences for long-term satisfaction. You will be part of an interdisciplinary team focusing on ensuring that the foundations of Spotify technologies are at or above the state of the art and, in the process, redefine the state of the art for the field and contributing to the wider research community by publishing papers. Our team has strong ties internally to product groups as well as externally to the research community.What You'll Do Participate in groundbreaking research in artificial intelligence and machine learning with a focus on large-scale solutions to optimize recommender systems. Apply your scientific knowledge to analyze and collect data, perform analyses, conduct experiments and identify problems, as well as devise solutions through hands-on development. Work on practical applications such as recommendations and scalable evaluations. Work in collaboration with other scientists, engineers, product managers, designers, user researchers, and analysts across Spotify to design creative solutions to challenging problems. You'll have product impact, while working on and further developing a long-term research roadmap. You will maintain a research profile through external engagement such as publishing, giving talks, and being an active community member at top conferences. Who You Are You have a Masters or PhD in machine learning, data science, or related areas or are enrolled in an advanced degree program. Demonstrated expertise in machine learning and artificial intelligence through peer-reviewed publications at conferences (such as NeurIPS, KDD, RecSys or related) A solid understanding or past research experience on recommender systems and ability to optimize Generative AI models for new targets, rewards or multiple objectives. Solid hands-on skills in implementing advanced algorithms, as well as sourcing, cleaning, analyzing and modeling of large-scale real data. You're a creative problem-solver who is passionate about digging into complex problems and devising new approaches to reach results. Where You'll Be This role is based in New York City. We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. The United States base range for this position is $133,195 - $190,278 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, a monthly meal allowance, 23 paid days off, 13 paid flexible holidays. These ranges may be modified in the future. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It's in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we're here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world's most popular audio streaming subscription service.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. Find our AI notice here: ***********************************

Who We Are Pindrop is redefining trust in the digital age. Our patented voice, and video authentication, fraud detection, and deepfake detection technologies protect some of the world's largest banks, insurers, retailers, and healthcare leaders. As AI-driven threats evolve in the form of synthetic voices, deepfakes, face swapping and more, our solutions stay ahead, helping ensure that the real human and the right human are recognized. Pindrop is trusted by Fortune 500 enterprises to secure voice interactions, and with $100M ARR we're entering our next phase of innovation and growth, backed by world-class investors including Andreessen Horowitz, IVP, and CapitalG. What you'll do Conduct experimental studies on various natural language processing and machine learning tasks to assess the accuracy and quality of pre-existing models Help the transition of research models into production on different platforms Conduct proof-of-concept experiments on lab and customer data Publish patents and peer-reviewed papers in top machine learning conferences Help your teammates in reviewing their research projects Propose new ML models that improve Pindrop products Leverage cloud AI platforms, including: AWS Bedrock (Converse API, Agents, Knowledge Bases, Guardrails) Google Cloud Vertex AI (Gemini API, Agent Builder, Vector Search, Search & Grounding, Model Garden) Champion Responsible AI, including safety guardrails, red-teaming, fairness/bias testing, and human-in-the-loop workflows. Who you are You are a creative problem solver who is excited about building amazing products that add real value to millions of people You are enthusiastic about natural language processing as well as developing research ideas into products You can explain complex topics in simple terms, and you love building strong relationships with colleagues and stakeholders You are a self-starter and excel in a fast-paced, dynamic environment You are resilient in the face of challenges, change, and ambiguity You are optimistic and believe that you can make a problem into a solution You are resourceful, excited to uncover innovative solutions, and teach yourself something new when needed You take accountability, do the things you say you'll do, under-promise and over-deliver You are nimble and adaptable when priorities change and continue to see the “forest through the trees” Your skill-set Master's and/or PhDs in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.) required 3+ years of professional experience as a researcher in natural language processing, authorship verification, language models, intent recognition, emotion detection, and/or generative AI. Experience with natural language processing required Experience using AI-driven code research and development using AI assistants (eg, Anthropic or Copilot) Strong Python skills Experience with ML frameworks: PyTorch, TensorFlow, Keras Proven track record of peer-reviewed publications at prestigious conferences and journals. Proven track record of successful and timely project delivery Strong collaboration & proven success in partnering with stakeholders Preferably, you have experience with NLP competitions and challenges (PAN, Kaggle, NIST SRE, Chime, etc.) Preferably, you have deep knowledge of authentication, fraud, or customer experience concepts Preferably, you have experience communicating with internal and external customers around proof-of-concepts, issues, etc. What's in it for you As a Pindropper, you join a rapidly growing company making technology more human with the power of voice. You will work alongside some of the best and brightest. We're a passionate group committed to excellence - but that doesn't stop us from enjoying the journey as a team with chess and poker tournaments, catered lunches and happy hours, wellness programming, and more. Because we take our jobs seriously, we add in time for rest with Unlimited PTO. You will also be part of Pindrop's Research team, working on revolutionary research ideas against deepfake threats. This role provides the opportunity to work on cutting-edge technology, collaborate with experts to enhance real-time communication safety, and contribute to innovative solutions. Within 30 days, you'll Understand Pindrop as a product and the voice technology space. Dive into your role and understand how your success will be measured. Get acclimated to your surroundings and your team, including meeting with your onboarding buddy and key department members. Read through the Pindrop Lexicon to familiarize yourself with company terms and complete any required role-based training. Be introduced to your team and colleagues and added to any standing meetings, such as 1:1s, standups, and weekly touchpoints. Complete onboarding and attend New Employee Orientation sessions with other new Pindroppers. Within 60 days, you'll Accomplish some quick wins and start adding value, particularly within your immediate responsibilities. Establish relationships with key partners for continued collaboration and build your Objectives and Key Results (OKRs) for the next quarter. Understand expectations for the team and be able to start planning for development and contributing to projects. Start a research project agreed upon with your direct manager. Within 90 days, you'll Schedule and complete a 90-day check-in with your manager to discuss wins, blockers, and next steps. Have an intermediate level of familiarity with the products and corresponding research initiatives. Start executing against the research roadmap and contribute significantly to team objectives. What we offer As a part of Pindrop, you'll have a direct impact on our growing list of products and the future of security in the voice-driven economy. We hire great people and take care of them. Here's a snapshot of the benefits we offer: Competitive compensation, including equity for all employees Unlimited Paid Time Off (PTO) Generous health and welfare plans to choose from - including one employer-paid “employee-only” plan! Best-in-class Health Savings Account (HSA) employer contribution Affordable vision and dental plans for you and your family Employer-provided life and disability coverage with additional supplemental options Paid Parental Leave - Equal for all parents, including birth, adoptive & foster parents One year of diaper delivery for your newest addition to the family! It's our way of welcoming new Pindroplets to the family! Identity protection through Norton LifeLock Recurring monthly Phone and Internet allowance One-time home office allowance Remote first environment - meaning you have flexibility in your day! Company holidays Annual professional development and learning benefit Pick your own Apple MacBook Pro Retirement plan with competitive 401(k) match Wellness Program, including Employee Assistance Program, 24/7 Telemedicine #LI-Remote Please note that the base pay range is a general guideline only. Pindrop considers factors such as (but not limited to) scope and responsibilities of the position, a candidate's work experience, education/training, and key skills, as well as market and business considerations, when extending an offer. US Base Pay Range $150,000-$175,000 USDWhat we live by At Pindrop, our Core Values are fundamental beliefs at the center of all we do. They are our guiding principles that dictate our actions and behaviors. Our Values are deeply embedded into our culture in big and small ways and even help us decide right from wrong when the path forward is unclear. At Pindrop, we believe in taking accountability to make decisions and act in a way that reflects who we are. We truly believe making decisions and acting with our Core Values in mind will help us to achieve our goals and keep Pindrop a great place to work: Audaciously Innovate - We continue to change the world, and the way people safely engage and interact with technology. As first principle thinkers, we challenge standards, take risks and learn from our mistakes in order to make positive change and continuous improvement. We believe nothing is impossible. Evangelical Customers for Life - We delight, inspire and empower customers from day one and for life. We create a partnership and experience that results in a shared passion. We are champions for our customers, and our customers become our champions, creating a universal commitment to one another. Execution Excellence - We do what we say and say what we do. We are accountable for making the tough decisions and necessary tradeoffs to deliver quality and effective solutions on time. Win as a Company - Every time we win, we win as a company. Every time we lose, we lose as a company. We break down silos, support one another, embrace diversity and celebrate our successes. We are better together. Make a Difference - Every day we have the opportunity to make a positive impact. We operate with dedication, passion, and uncompromising integrity, creating a safer, more secure world. Not sure if this is you? We want a diverse, global team, with a broad range of experience and perspectives. If this job sounds great, but you're not sure if you qualify, apply anyway! We carefully consider every application and will either move forward with you, find another team that might be a better fit, keep in touch for future opportunities, or thank you for your time. Pindrop is an Equal Opportunity Employer Here at Pindrop, it is our mission to create and maintain a diverse and inclusive work environment. As an equal opportunity employer, all qualified applicants receive consideration for employment without regard to race, color, age, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetic information, disability, marital and/or veteran status.

About Us: We are a dynamic and innovative medical device startup developing a point-of-care blood coagulation testing device. Our fast-growing team is passionate about transforming diagnostic testing and improving patient care. As a small, mission-driven company, we offer a collaborative environment where team members can take ownership, contribute meaningfully, and grow with us. We're looking for versatile, motivated individuals who are excited to be part of an early-stage team and make a real-world impact. Job Summary: We're seeking a Postdoctoral Research Scientist with a strong background in coagulation, diagnostics, and experimental research to join our core R&D team. This is a unique opportunity to contribute to the advancement of next-generation diagnostic technology in a hands-on, high-growth startup environment. The ideal candidate will bring deep scientific knowledge, creativity in study design, strong data analysis skills, and an entrepreneurial mindset. You'll play a critical role in shaping and executing research projects, designing and running experiments, interpreting data, identifying grant opportunities, and contributing to scientific writing for grant proposals and publications. This position is ideal for someone who thrives in a fast-paced environment, loves solving hard problems, and is excited about translating scientific insight into life-changing technology. Startup Environment: Operating in a fast-paced startup, we value innovation, adaptability, and proactive mindsets. Ideal team members thrive under pressure, manage multiple projects, and adapt as company needs evolve. We are looking for individuals who are passionate about making a meaningful impact in the medical device industry and are excited to tackle challenges head-on. Key Responsibilities: Develop and implement research plans using Levisonics' proprietary diagnostic prototypes to investigate blood coagulation dynamics. Design and execute experimental studies, including study planning, hypothesis generation, and experimental protocol development. Conduct literature reviews to support experimental design, regulatory documentation, and ongoing product development. Optimize protocols for accuracy, reproducibility, and compliance with ethical and regulatory standards. Acquire and analyze research data using statistical and bioinformatics tools; identify trends, patterns, and correlations. Visualize and interpret data to generate actionable insights and guide prototype improvements. Collaborate closely with internal engineers, external clinicians, and research partners to align scientific and technical goals. Identify and evaluate relevant grant opportunities (e.g., NIH, NSF, DoD) and contribute significantly to the preparation of competitive grant applications, including Specific Aims, Research Strategy, and biosketches. Communicate research outcomes clearly through reports, internal presentations, publications, and regulatory materials. Contribute to the continuous improvement of prototype functionality and experimental capabilities. Support cross-functional needs and take on ad-hoc tasks typical of a startup environment. Minimum Qualifications: Ph.D. in Medical Sciences, Biomedical Engineering, Bioengineering, or a related field. Strong independent R&D experience, ideally in coagulation, hematology, trauma, or diagnostic technologies. Proven ability to design, execute, and interpret experiments. Proficiency with data analysis and visualization tools (Python, R, MATLAB, GraphPad, etc.). Strong scientific writing and literature review skills. Experience in identifying and writing grant applications. Prior experience with diagnostic or point-of-care device development is a plus. Strong communication and teamwork skills. Entrepreneurial mindset and ability to adapt in a fast-paced, evolving environment. Publication record in peer-reviewed journals. What We Offer: Competitive salary Health, dental, and vision insurance coverage Generous paid time off Professional development opportunities Potential to receive stock options Opportunities for growth within the company Flexible work arrangements, including remote work options Dynamic and innovative startup environment Opportunity to make a meaningful impact in the medical device industry

United by one profound purpose: to reach EVERY PATIENT POSSIBLE. At Avalere Health, we ensure every patient is identified, treated, supported, and cared for. Equally. Our Advisory, Medical, and Marketing teams come together - powerfully and intentionally - to forge unconventional connections, building a future where healthcare is not a barrier and no patient is left behind. Achieving our mission starts with providing enriching, purpose-driven careers for our team that empower them to make a tangible impact on patient lives. We are committed to creating a culture where our employees are empowered to bring their whole selves to work and tap into the power of diverse backgrounds and skillsets to play a part in making a difference for every patient, everywhere. Our flexible approach to working allows our global teams to decide where they want to work, whether in-office or at home based on team and client need. Major city hubs in London, Manchester, Washington, D.C., and New York, and smaller offices globally, serve as collaboration hubs allowing our teams to come together when it matters. Homeworkers are equally supported, with dedicated social opportunities and resources. Our inclusive culture is at the heart of everything we do. We proudly support our employees in bringing their whole selves to work with our six Employee Network Groups - Diverse Ability, Family, Gender, LGBTQ+, Mental Health, and Race/Ethnicity. These groups provide opportunities to promote diversity, equity, and inclusion and to connect, learn, and socialise through regular meetings and programs of activity. We are an accredited Fertility Friendly employer with our Fertility Policy, enhanced parental leave, and culture of flexibility ensuring every employee feels supported across their family planning journey and can work in a way that suits their family's needs. We are deeply invested in supporting professional growth for our employees through day-to-day career experiences, access to thousands of on-demand training sessions, regular career conversations, and the opportunity for global, cross-capability career moves. We take pride in being part of the Disability Confident Scheme. This helps make sure you can be interviewed fairly if you have a disability, long term health condition, or are neurodiverse. If you'd like to apply and need adjustments made, you can let us know in your application. About The RoleAvalere Health's Market Access Practice is seeking a Research Scientist II to join its analytics team. This role leverages advanced Excel modeling, data visualization, and technical expertise in market access and commercial analytics to address critical business challenges for life sciences companies, health plans, providers, and other stakeholders. Key focus areas include:• Developing advanced Excel-based models for gross-to-net forecasting, ASP trends, and scenario planning.• Building efficient workflows for data extraction, visualization, and reporting to enhance analytic delivery.• Creating intuitive data visualizations to communicate complex analyses effectively.• Mentoring junior analysts in Excel modeling, data handling, and technical approaches.• Supporting strategic planning for life science companies related to pricing and contracting decisions across a portfolio of products, channels, and customers. This role is ideal for a technical expert passionate about advanced modeling, process efficiencies, and developing the next generation of analysts. Join us to shape market access strategies and drive impactful healthcare solutions.What you'll do Designing and implementing advanced Excel-based models with complex formulas, VBA scripting, and scenario planning capabilities. Leading the creation of internal tools to standardize and streamline common data extractions and visualizations. Collaborating with clients to translate their business challenges into structured analytic approaches. Mentoring junior analysts in Excel modeling techniques, quality control, and efficiency improvements. Establishing best practices for modeling, data handling, and visualization workflows to drive team efficiency. Ensuring the accuracy, quality, and consistency of analytic outputs. Building and managing data dashboards (e.g., Tableau, Power BI) to visualize market access data. About you Strong technical background and experience in market access analytics or consulting for biopharma manufacturers. Expert-level Excel modeling skills, including advanced formulas, VBA, and scenario planning for price forecasting and data analysis. Experience developing tools and workflows to improve efficiencies in data extraction and analysis. Proficiency in Tableau or other data visualization tools, with a focus on creating actionable insights. Advanced understanding of healthcare data sources, including payer claims, formulary data, and market access metrics. At least 5 years of professional experience in healthcare analytics, with a focus on market access or biopharma-related roles, with at least 2 years of direct experience developing forecast models. Demonstrated ability to synthesize complex analytic results into actionable insights. Strong collaboration skills, with experience mentoring and guiding junior team members in technical work. Preferred Experience An undergraduate or graduate degree in health economics, biostatistics, data science, or a related quantitative field, or equivalent professional experience. Familiarity with market access concepts such as payer coverage, reimbursement strategies, and ASP and gross-to-net forecasting. Hands-on experience working with life sciences manufacturers or market access consulting firms. What we can offer You will receive a 401K plan with an employer match contribution up to 4% (immediately vested), as well as life insurance, disability coverage, and medical, dental, and vision plans for peace of mind. Enjoy flexible working arrangements, including hybrid and remote work, along with the option to work from anywhere across the globe two weeks each year. We provide 20 vacation days plus one personal well-being day, recognise 9 public holidays, along with gifted end-of-year holidays and an early Summer Friday finish in June, July, and August. Access free counselling through our employee assistance program and personalized health support. Our enhanced maternity, paternity, family leave, and fertility policies provide support across every stage of your family-planning journey. You can also benefit from continuous opportunities to professionally develop with on-demand training, support, and global mobility opportunities across the business. We encourage all applicants to read our candidate privacy notice before applying to Avalere Health.

About the Role We're looking for a Research Scientist with deep expertise in training and fine-tuning large Vision-Language and Language Models (VLMs / LLMs) for downstream multimodal tasks. You'll help push the next frontier of models that reason across vision, language, and 3D, bridging research breakthroughs with scalable engineering. What You'll Do Design and fine-tune large-scale VLMs / LLMs - and hybrid architectures - for tasks such as visual reasoning, retrieval, 3D understanding, and embodied interaction. Build robust, efficient training and evaluation pipelines (data curation, distributed training, mixed precision, scalable fine-tuning). Conduct in-depth analysis of model performance: ablations, bias / robustness checks, and generalisation studies. Collaborate across research, engineering, and 3D / graphics teams to bring models from prototype to production. Publish impactful research and help establish best practices for multimodal model adaptation. What You Bring PhD (or equivalent experience) in Machine Learning, Computer Vision, NLP, Robotics, or Computer Graphics. Proven track record in fine-tuning or training large-scale VLMs / LLMs for real-world downstream tasks. Strong engineering mindset - you can design, debug, and scale training systems end-to-end. Deep understanding of multimodal alignment and representation learning (vision-language fusion, CLIP-style pre-training, retrieval-augmented generation). Familiarity with recent trends, including video-language and long-context VLMs, spatio-temporal grounding, agentic multimodal reasoning, and Mixture-of-Experts (MoE) fine-tuning. Awareness of 3D-aware multimodal models - using NeRFs, Gaussian splatting, or differentiable renderers for grounded reasoning and 3D scene understanding. Hands-on experience with PyTorch / DeepSpeed / Ray and distributed or mixed-precision training. Excellent communication skills and a collaborative mindset. Bonus / Preferred Experience integrating 3D and graphics pipelines into training workflows (e.g., mesh or point-cloud encoding, differentiable rendering, 3D VLMs). Research or implementation experience with vision-language-action models, world-model-style architectures, or multimodal agents that perceive and act. Familiarity with efficient adaptation methods - LoRA, adapters, QLoRA, parameter-efficient finetuning, and distillation for edge deployment. Knowledge of video and 4D generation trends, latent diffusion / rectified flow methods, or multimodal retrieval and reasoning pipelines. Background in GPU optimisation, quantisation, or model compression for real-time inference. Open-source or publication track record in top-tier ML / CV / NLP venues. Equal Employment Opportunity: We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

You are an ML Researcher who has a broad view of the generative media space and an update-to-date awareness of new methods in the space. You can spot products and features that are missing in the current market and work backwards to develop new methods to solve customers problems. Sometimes your work will require entirely novel training or architecture developments. While other times it will require fine-tuning pre-existing models with novel datasets. You are able to consider the expected return on investment of different approaches, and more excited about using research to develop novel products, then research for research's sake. Tech: You will have access to our massive GPU cluster for training and inference Some core technologies we use include Python, torch, diffusers, and the fal Python SDK You'll work alongside a team dedicated to quickly iterating on and deploying new AI breakthroughs You have work published in ICCV, ICML, Neurips, CVPR What we offer at fal Interesting and challenging work Competitive salary and equity A lot of learning and growth opportunities We are currently hiring in downtown San Francisco. We prefer to work in-person but we also offer remote work opportunities for exceptional candidates. We offer visa sponsorship and will help you relocate to San Francisco. Health, dental, and vision insurance (US) Regular team events and offsites

ISEE is seeking full-time Research Scientists to join our team. The ideal candidate has several years of research/work experience. Role responsibilities include:- Leading research contributing to the development of humanistic AI for autonomous systems- Conducting research in the areas of: Robotics, Artificial Intelligence, Machine Learning, Perception, Modeling, Simulation, Applied Mathematics, Probabilistic Modeling and Inference or related areas- Collaborating with engineering and business teams to develop novel solutions to real-world problems- Designing experiments and metrics for benchmarking results Publishing research in top-tier conferences and journals Qualifications:- PhD in Robotics, Computer Science, Electrical Engineering, Aerospace Engineering, Mechanical Engineering, Control Engineering, Machine Learning, Statistics, or a related field- Passionate about self-driving vehicles and real-world robotics solutions.- Experience collecting, processing, and analyzing real-world data.- Strong presentation and communication skills. Recommended- Publication record in top-tier conferences in Robotics and related fields.- Programming experience, ideally with Python and/or C++.- Robotics experience is a plus.

The Holzhausen Lab in the Department of Epidemiology & Biostatistics at Michigan State University is seeking a Postdoctoral Scholar to lead analyses of the early life gut microbiome, vertical microbiome transmission, and maternal-infant health. The successful candidate will work with longitudinal multi-omics data including microbial, clinical, and environmental exposure data, to investigate gut microbiome development and its implications for child health. Key responsibilities include designing and conducting rigorous statistical and bioinformatic analyses, developing reproducible workflows, interpreting results, and serving as lead author on scientific manuscripts. The position provides opportunities to collaborate with a multidisciplinary team and gain experience in advanced data analytic methods, cutting-edge single- and multi-omics data analysis, study design, manuscript writing, and early-career grant development (e.g., F or K awards). This full-time position is based in Grand Rapids, MI, with a minimum term of one year and the expectation of renewal. Equal Employment Opportunity Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability or protected veteran status. Required Degree Doctorate -Epidemiology, Biostatistics, Bioinformatics, Environmental Health Sciences, or related field Minimum Requirements Strong quantitative and statistical skills, including proficiency in at least one programming language (R preferred). Demonstrated experience analyzing biological, epidemiologic, or microbiome-related datasets using appropriate statistical or computational methods. Peer-reviewed publication record commensurate with career stage. Strong scientific writing and communication skills, including experience preparing manuscripts, reports, or presentations. Ability to work collaboratively with a multidisciplinary research team and manage multiple projects concurrently. Desired Qualifications Previous experience with omics data pipelines and analysis (e.g., microbiome, metabolome, or other large, complex datasets). Familiarity with advanced statistical or computational methods (e.g., mixed-effects models, mediation analyses, machine learning, or strain-level microbiome tools). A publication record demonstrating expertise in microbiome, early life, environmental health, or related scientific domains. Required Application Materials For full consideration, please submit the following documents: A cover letter describing research experience, interests, and fit for the position. Curriculum vitae (CV). Contact information for 2-3 professional references (name, position and affiliation, phone number, and email address). Up to 3 research products (e.g., publications, preprints, abstracts, or other examples of scientific writing). Remote Work Statement MSU strives to provide a flexible work environment and this position has been designated as remote-friendly. Remote-friendly means some or all of the duties can be performed remotely as mutually agreed upon. MSU Statement Michigan State University has been advancing the common good with uncommon will for more than 160 years. One of the top research universities in the world, MSU pushes the boundaries of discovery and forges enduring partnerships to solve the most pressing global challenges while providing life-changing opportunities to a diverse and inclusive academic community through more than 200 programs of study in 17 degree-granting colleges.

The Cascone Lab at the world-renowned University of Texas MD Anderson Cancer Center is seeking one or more highly motivated and ambitious postdoctoral fellows to join a well-funded, dynamic, and question-driven research program focused on advancing the science of lung cancer immunology and immunotherapy. Under the mentorship of Tina Cascone, M.D., Ph.D., a physician-scientist and Associate Professor with tenure, and Director of Translational Research in the Department of Thoracic/Head and Neck Medical Oncology, successful candidates will engage in innovative translational research aimed at unraveling the immune-mediated mechanisms of tumor response and resistance to therapy in non-small cell lung cancer. This fellowship offers a unique and exciting opportunity to contribute to cutting-edge, high-impact projects at the intersection of preclinical discovery and clinical application. Research will involve both state-of-the-art murine models and biospecimens from pioneering clinical trials testing immune checkpoint inhibitors as well as standard-of-care chemoimmunotherapy regimens in patients with surgically resected non-small cell lung cancer. If you are passionate about translating scientific discovery into therapeutic innovation and thrive in a collaborative, mission-driven research environment, we encourage you to apply. *LEARNING OBJECTIVES* Key Research Focus - Mechanistic studies of immune checkpoint blockade in lung cancer - Analysis of tumor-immune interactions in response and resistance to therapy - Regulation of systemic and local anti-tumor immunity under therapeutic pressure - Utilization of syngeneic and genetically engineered mouse models - Integration of human clinical data with experimental immunology - Contribution to the development of novel combination strategies and biomarkers What We Offer - A collaborative, high-energy environment at a top-ranked cancer center - Close mentorship from a physician-scientist involved in leading clinical trials - Access to cutting-edge technologies, including immunogenomics, single-cell and spatial transcriptomics, flow cytometry, and immune profiling - Opportunities for first-author publications, grant development, and career advancement - Competitive salary and comprehensive benefits All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations. *ELIGIBILITY REQUIREMENTS* Required: - Ph.D., M.D./Ph.D., or equivalent in tumor immunology, molecular biology, cancer biology, or related fields - Demonstrated experience with immune checkpoint inhibitors, T cell-based therapies, or tumor immunology - Proficiency in handling and analyzing murine cancer models, particularly syngeneic systems - Strong experimental, analytical, and communication skills - Self-motivated, collaborative, and driven to make a scientific impact Preferred (but not required): - Familiarity with oncogenic signaling, biomarkers of response/resistance, or cancer metabolism - Experience with multi-omics approaches, such as immunogenomics or transcriptomics - Background in evaluating human tumor samples and integrating clinical data *ADDITIONAL APPLICATION INFORMATION* ******************************************************************************************** *POSITION INFORMATION* MD Anderson offers full-time postdoc positions with a ******************************************************************************************************* tuition benefits, educational opportunities, and individual and team recognition. Offsite work arrangements are subject to approval and may be modified or revoked at any time based on business needs, performance considerations, or regulatory requirements. This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment. It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. ************************************************************************************************

Reality Labs at Meta is seeking Research Scientists with experience in product-focused machine learning and signal processing research to advance our pioneering work in neuromotor interfaces, which has grown out of the acquisition of CTRL-labs. We're building a practical interface drawing on the rich neuromotor signals that can be measured non-invasively via surface electromyography (EMG) with single motor neuron resolution. This technology could become one of the main pillars for interaction with virtual and augmented worlds.We are a multi-disciplinary team of researchers investigating the nature of human neuromotor signals, developing novel signal processing and machine learning methods to infer a user's intent, and creating novel interaction techniques and user experiences. Help us unleash human potential by removing the bottlenecks between user intent and action. **Required Skills:** Research Scientist - CTRL Labs Responsibilities: 1. Research and develop Deep Learning or other computational models 2. Design methods, tools and infrastructure to analyze and leverage rich multimodal data sets 3. Set technical direction for a project of 2-3 researchers and engineers 4. Help transition and deliver our work from research into product 5. Adapt standard machine learning methods to best leverage modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU) **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. Ph.D. degree in Computer Science and Engineering, Electrical Engineering, Statistics/Mathematics 8. Experience with developing machine learning models at scale from inception to business impact 9. Programming experience in Python and hands-on experience with frameworks such as PyTorch 10. Exposure to architectural patterns of large scale software applications 11. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment **Preferred Qualifications:** Preferred Qualifications: 12. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL, and ICASSP) 13. Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub) 14. Experience bringing machine learning-based products from research to production **Public Compensation:** $184,000/year to $257,000/year + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Waabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: ************ The Motion Planning team delivers the core module within the autonomy stack that makes decisions and generates trajectories for our self-driving trucks. As a research scientist working on Learnable Planner, you will invent new AI technologies that support scalable planning solutions enabling our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World. You will...- Design and execute on a research agenda for deep-learning based motion planning for self-driving.- Leverage and advance the state-of-the-art in robotics and machine learning to enable safe self-driving at scale, with advanced techniques in imitation and reinforcement learning, planning and search, perception and prediction, simulation, foundation models and more.- Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into production systems.- Stay up-to-date and advance beyond the state-of-the-art in artificial intelligence, machine learning, computer vision, and self-driving technologies.- Champion engineering excellence, ensuring high-quality, well structured and tested code.- Submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.) and post to our company blog. Qualifications:- MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor's students will also be considered.- Experience in planning/decision making approaches (e.g., imitation learning, reinforcement learning, optimal control, optimization based approaches, search methods, probabilistic decision making).- Demonstrated research experience through previous internships, work experience, research projects, and papers at top conferences.- Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.- Proficient in reading and coding in Python.- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Bonus/nice to have:- Previous experience in self-driving technology. - Experience deploying ML/DL models to a production motion planning or related robotics stack.- Proficiency in Pytorch, Rust, C++ and/or CUDA.The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.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.

Program: Scholars In Disability Company: Ohio At Home Healthcare Agency About Us Ohio At Home is a Home Healthcare Agency located in Grandview Heights, Ohio, serving clients across central Ohio. We care for children and adults who have developmental disabilities, and who depend upon others to fulfill their life potential. Our team of care professionals specializes in providing quality care as we create partnerships with the clients' families, as well as with their teachers, employers, medical teams, and all the other functioning components that give each client his/her place within the community. Insofar as possible, our goal is to give reliable, broad-based care for physical and emotional needs as we encourage them to be aware of their surroundings, the beauty of nature, and to understand their connection with the environment. We look to expand our clients' world by exploring and expressing their own gifts and talents. The Scholars in Disability: The Scholars in Disability, sponcered by Medforall, aims to provide scholars of all academic backgrounds the opportunity to learn more about disabilities, get direct patient care hours, and network with professionals in the industry Eligibility Critria: This program is for undergraduate and graduate students who are enrolled at an accredited institution in Ohio. Students from any academic background (public health, engineering, business, life sciences etc.) are welcome. No patient care experience is necessary Benefits: No cost to participate Will receive $1000 scholarship Grand prize will be awarded at the final seminar Learn about disabilities, government policies, get patient hours and gain industry experience Earn 2 Credit Hours* *up to department acceptance

See yourself at Dataminr As an AI Research Scientist you'll be working on some of the most challenging AI problems in real-time event detection and directly contributing to products while advancing the state of the art. This role can be remote or based out of our New York City, Dublin, or London offices. AI Innovation at Dataminr Working at Dataminr you'll have the opportunity to tackle the most exciting trends in AI on a daily basis to power a revolutionary product that uncovers critical events around the world as they unfold. Regenerative AI: our AI technology, ReGenAI, is a new form of generative AI that automatically regenerates real-time Live Event Briefs as events unfold. Learn more here. Agentic AI: we recently launched our Agentic AI capability, what we're calling our Intel Agents, that autonomously generates critical context for our clients on real-time events, threats, and risks allowing them to see the clearest, most accurate view of what's happening on the ground. Learn more here Multimodal AI: our platform detects events from many different types of data (images, video, sensor data, audio, and text in over 150 languages). Learn more here. The opportunity Perform research to advance the state of the art and solve specific problems at scale in one or more of the following areas: Natural Language Processing, Machine and Deep Learning. Work closely with a diverse, interdisciplinary team to deliver value to customers (existing and new products). Contribute to the research community via publications in top tier venues, participation in program committees, etc. Excel in placing a human-centered focus on the work (context, end-user impact, etc), finding solutions that work in practice and have significant impact. Productionize and ship research into Dataminr's products, and thus to its users worldwide. Senior candidates are expected to lead technical areas and/or people. What you bring At Dataminr, we value you for who you are. We encourage you to apply for this role, even if you don't meet every qualification. Our candidates are reviewed on the basis of their skill and potential to succeed. Ph.D. in Computer Science or related field Experience in one or more of the following topics: AI for cyber security, LLMs, agentic AI, generation, machine translation, summarization, topic detection & tracking, text classification, knowledge extraction/representation/management, trending topic detection, search, machine learning and deep learning, etc. Outstanding publication record (IEEE, AAAI, NeurIPS, ACL, TACL, EMNLP, WWW, etc.). Demonstrated ability to work independently, set up experiments and demonstrate progress through principled use of metrics. Proficiency in Python and experience with relevant AI/ML libraries and frameworks such as PyTorch and Hugging Face Transformers. Experience with LLM serving technologies such as vLLM is a plus. Professional experience in industry (requirement varies depending on level; recent graduates must have had relevant internships). #LI-Remote #LI-BM About Dataminr At Dataminr, we are a mission driven team of talented builders, creators and visionaries who have real-world impact on how organizations are able to respond to events. Dataminr's groundbreaking, AI-powered, intelligence platform provides organizations with the earliest signals of emerging risks, events, and threats before they unfold. Trusted by two-thirds of the Fortune 50 and half of the Fortune 100, Dataminr's platform analyzes billions of public data inputs spanning text, image, video, audio and sensor data across 150+ languages, empowering our clients to stay one step ahead in an increasingly complex world where every second counts. Founded in 2009, we have pioneered the world's first real-time event detection platform, long before the recent Gen AI ‘boom.' Dataminr operates all around the world united by our passion to use AI for the greater good, be agents of positive change and put our technology into the hands of clients charged with the responsibility to keep organizations running and keep people safe. As our employees focus on developing our revolutionary technology, we focus on our employees. Dataminr is proud to offer a variety of flexible work arrangements, offices all over the world to foster collaboration, generous PTO and sick leave, and more, as part of our competitive benefits package aimed at keeping all our employees happy and healthy. Explore all our benefits here. We believe our differences give us strength. Our employees are empowered to be their best, authentic selves through various opportunities, such as our robust employee resource group (ERG) network, manager development programming, professional development funds, and more. We serve a global community made up of many cultures and strive to reflect the world and clients we serve, with a workforce built on merit and equity. We actively condemn racism and discrimination in any form. We stand for social good, fostering a culture of allyship, and standing up for those who face systemic barriers to equality. We lead with empathy and strive to be agents of positive change in our company and in our communities. The annual base salary range for this position is $148,240 - $218,000. You will also be eligible to receive a discretionary bonus and Company equity. Actual salary will be based on a number of factors including, but not limited to, geographic location, applicant skills, and prior relevant experience. Dataminr is an equal opportunity and affirmative action employer. Individuals seeking employment at Dataminr are considered without regards to race, sex, color, creed, religion, national origin, age, disability, genetics, marital status, pregnancy, unemployment status, sexual orientation, citizenship status or veteran status. Dataminr will collect and process your personal data. All personal data will be processed in accordance with applicable data protection laws. Please see Dataminr's candidate privacy notice available here. By providing your details and applying via our careers website, you acknowledge that you have read our candidate privacy notice. If you have any queries, please contact the People Team at *************** or privacy@dataminr.com .

The Tianhu Sun Plant Synthetic Biology Lab at East Tennessee State University is seeking a highly motivated, independent researcher for a postdoctoral position. The position is part of the project funded by the Foundation for Food & Agriculture Research (FFAR) to increase the nutritional value of seeds. The position is initially for one year, but with the possibility of being renewed for additional years. The primary responsibilities of this position will be: Conducting experiments, collecting and managing data in the lab and in the greenhouse Presenting findings in annual project reports, meetings, and conferences Manuscript writing Contributing to mentoring graduate and undergraduate students The Department of Biological Sciences is currently comprised of fifteen faculty members engaged in a wide range of research programs and serves approximately 450 majors and over 40 Master's and Ph.D. students. Our programming, scholarly activities, and academic offerings reflect our shared commitment to understanding and engaging the world around us. We embrace difference and believe it enriches our academic mission. We seek a faculty member who shares our vision. Further information concerning the department is available at ********************* The value of employment at ETSU goes far beyond salary. Regular benefited ETSU employees enjoy a full range of benefits, services, and programs, including paid time off & leave, paid holidays, health and life insurance, retirement, access to university facilities and services, and much more! Check out the ETSU Human Resources Benefits page for additional information. *********************************************** East Tennessee State University (ETSU) is an institution with over 14,000 diverse students and highly ranked graduate and undergraduate programs. Located in the Southern Appalachian Mountains of Northeast Tennessee, ETSU serves as a hub for community, discovery, and service. Aligned with the institution's mission, we value efforts to engage in teaching, scholarship, creative activities, and service that involve community partners and address significant societal needs in our region and beyond. Recognized in 2024 as a Great College to Work For , recent strategic initiatives prioritize the institution's focus on community engagement. Knowledge, Skills, and Abilities Knowledge of plant metabolism and metabolic engineering. Knowledge and experience in analytical biochemistry, molecular biology, bioinformatics, and related fields. Ability to be independent, communicative, and provide leadership. Required Qualifications The successful candidate must have a Ph.D. in plant biology, molecular and cellular biology, biochemistry, or a related field, or be on track to obtain one by the time of hire. The Ph.D. must have been earned within the past four years. A strong background in molecular, biochemical, and genetic analysis in plants is essential. Candidate should be self-motivated, creative, and capable of working independently on assigned projects. Excellent communication skills and a willingness to collaborate with others are required. Preferred Qualifications Experience in CRISPR-based gene editing and multigene stacking Previous experience in machine learning, directed evolution, and enzyme engineering. Experience in automated pipetting robots and high-throughput screening LC-MS analysis of phytochemicals Application Instructions Exempt positions are only required to be posted for a minimum of fourteen (14) calendar days. The closing date for this posting is subject to change without notice to applicants. Employment is contingent on a satisfactory background check. Documents needed to apply - cover letter describing research interests, CV, transcripts, and (3) references ETSU is an Equal Opportunity Employer University Overview East Tennessee State University (ETSU) is an institution with over 14,000 diverse students, highly ranked graduate and undergraduate programs. Located in the Southern Appalachian Mountains of Northeast Tennessee, ETSU serves as a hub for community, discovery, and service. Aligned with the institution's mission, we value efforts to engage in teaching, scholarship, creative activities, and service that involve community partners and address significant societal needs in our region and beyond. Recognized in 2024 as a Great College to Work For, recent strategic initiatives prioritize the institution's focus on community engagement. Disclaimer Statement: Disclaimer: The Job Summary is intended to describe the general nature and level of work being performed by individuals in this classification. It is not intended to be a complete list of all responsibilities, duties, and skills required. Management reserves the right to revise the job or require different tasks to be performed as assigned to reflect changes in the position. Employee must be able to perform the essential functions of the position satisfactorily with or without reasonable accommodations.