Scientist jobs in Santa Fe, NM - 109 jobs

Invent, implement and deploy state-of-the-art machine learning and/or specific domain industry algorithms and systems. Build prototypes and explore conceptually new solutions. Work collaboratively with science, engineering, and product teams to identify customer needs in order to create and implement solutions, promote innovation and drive model implementations. Applies data science capabilities and research findings to create and implement solutions to scale. Responsible for developing new intelligence around core products and services through applied research on behalf of our customers. Develops models, prototypes, and experiments that pave the way for innovative products and services. Build cloud services that work out of the box for enterprises, e.g. decision support, anomaly detection, forecasting and recommendations), natural language processing (NLP), Natural Language Understanding (NLU),Time Series, Automatic Speech Recognition (ASR), Machine Learning (ML), and Computer Vision (CV). Design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Conversant on ethical problems in consideration of sciences. **Responsibilities** Leading contributor providing guidance and mentorship to define, design and deliver product quality improvements from ideation stage to shipping to the customer. Write high quality code to power experiments and build models. Contributes to writing production model code. Work closely with product management and engineering to deliver products which solves the needs of our customers by building relevant, innovative results which strategically differentiates Oracle in the market. Set up environment needed to run experiments for all projects. Set up distributed environments. Engage with customers and help solve complex problems with the customer/partner. Directly impact our customers via innovation in products and services that make use of ML/AI technology. Clearly articulate technical work to audiences of all levels and across multiple functional areas. Keep track of the progress and ensure the team is following the best practices. Works on training data collection, feature engineering, model training, offline and online experimentation. Drives independent research and development. Advance the state-of-the-art machine learning and algorithms for real-world large-scale applications. Ensure solutions are designed with fairness and explainability in mind. May perform other duties as assigned. Disclaimer: **Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.** **Range and benefit information provided in this posting are specific to the stated locations only** US: Hiring Range in USD from: $120,100 to $251,600 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC4 **About Us** As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_************* or by calling *************** in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Sumitomo Pharma Co., Ltd., is a global pharmaceutical company based in Japan with operations in the U.S. (Sumitomo Pharma America, Inc.), focused on addressing patient needs in oncology, urology, women's health, rare diseases, cell & gene therapies and CNS. With several marketed products and a diverse pipeline of early- to late-stage investigational assets, we aim to accelerate discovery, research, and development to bring novel therapies to patients sooner. For more information on SMPA, visit our website ********************************** or follow us on LinkedIn. **Job Overview** We are currently seeking a dynamic, highly motivated, and experienced individual for the position of Scientist II. This position will be part of the Translational Research and Medicine-Oncology team, with a primary focus on advancing translational research to support oncology programs in clinical trial stages. This individual will be responsible for designing, oversighting, and interpretating translational studies to understand mechanism of action, resistance pathways, and potential new indications. The candidate may also be involved in biomarker analysis to support these translational objectives. **Job Duties and Responsibilities** + Develop hypotheses by integrating insights from scientific literature, preclinical and clinical data + Design experiments to support identification of mechanism of action, resistance mechanisms, and potential indications + Manage translational research and biomarker studies conducted with CROs and academic investigators to ensure high-quality, timely delivery of data + Maintain organized, detailed logs of studies and data to ensure accuracy, reproducibility, and compliance with regulatory standards + Present data and insights in internal meetings and cross-functional program team discussions **Key Core Competencies** + Scientific curiosity with ability to generate and test hypotheses that inform drug development + Excellent problem-solving and critical-thinking skills to interpret complex data + Strong organizational skills and attention to detail in managing studies, data, and documentation + Strong project management and vendor oversight skills + Adaptability and resilience in a fast-paced, evolving research environment **Education and Experience** + PhD degree in a related field of science (Biology, Biochemistry, Molecular & Cellular biology, Cancer Biology, Immunology) + 1-3 years of postdoctoral or industry research experience + Familiarity with oncology research preferred + Experience with common biomarker platforms (e.g. NGS, flow cytometry, IHC) preferred The base salary range for this role is $102,000 to $127,000. Base salary is part of our total rewards package which also includes the opportunity for merit-based salary increases, short incentive plan participation, eligibility for our 401(k) plan, medical, dental, vision, life and disability insurances and leaves provided in line with your work state. Our robust time-off policy includes flexible paid time off, 11 paid holidays plus additional time off for a shut-down period during the last week of December, 80 hours of paid sick time upon hire and each year thereafter. Total compensation, including base salary to be offered, will depend on elements unique to each candidate, including candidate experience, skills, education and other factors permitted by law. Disclaimer: The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed. **Confidential Data** : All information (written, verbal, electronic, etc.) that an employee encounters is considered confidential. **Compliance** : Achieve and maintain Compliance with all applicable regulatory, legal and operational rules and procedures, by ensuring that all plans and activities for and on behalf of Sumitomo Pharma America (SMPA) and affiliates are carried out with the "best" industry practices and the highest ethical standards. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. **Mental/Physical Requirements** : Fast paced environment handling multiple demands. Must be able to exercise appropriate judgment as necessary. Requires a high level of initiative and independence. Excellent written and oral communication skills required. Requires ability to use a personal computer for extended periods of time. **Sumitomo Pharma America (SMPA)** **is an Equal Employment Opportunity (EEO) employer** Qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law. Sumitomo Pharma Co., Ltd., is a global pharmaceutical company based in Japan with operations in the U.S. (Sumitomo Pharma America, Inc.), focused on addressing patient needs in oncology, urology, women's health, rare diseases, cell & gene therapies and CNS. With several marketed products and a diverse pipeline of early- to late-stage investigational assets, we aim to accelerate discovery, research, and development to bring novel therapies to patients sooner. For more information on SMPA, visit our website ********************************** or follow us on LinkedIn. Sumitomo Pharma America (SMPA) endeavors to make its application process accessible to all. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact SMPA at ********************************************** This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. At Sumitomo Pharma America, our work is guided by the Sumitomo Pharma mission, vision and values, which tie closely to our company's cultural pillars. **Our** **Mission** _To broadly contribute to society through value creation based on innovative research and development activities for the betterment of healthcare and fuller lives of people_ _worldwide_ **Our** **Vision** _For Longer and Healthier Lives, we unlock the future with cutting edge technology and_ _ideas_

Ready to be pushed beyond what you think you're capable of? At Coinbase, our mission is to increase economic freedom in the world. It's a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform - and with it, the future global financial system. To achieve our mission, we're seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company's hardest problems. Our ******************************** is intense and isn't for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there's no better place to be. While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported. Data Science is an integral component of Coinbase's product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights which directly move the company's bottom line. Specifically, we're looking for a Senior Data Scientist to join our Retail Trading Team. In this role, you'll take charge of pricing experimentation and play a pivotal role in determining our pricing strategy: you'll spearhead testing design and analysis, find opportunities to improve engagement and our bottom line, and communicate your ideas to execs and leaders across the company. *What you'll be doing (ie. job duties):*** * Act as a strategic partner and collaborate with cross-functional stakeholders to develop pricing vision, roadmap and priorities * Design and develop pricing models and their evaluation framework to determine optimal pricing strategy * Develop causal models to help isolate the impact of fee changes using experiments and observational data * Initiate, develop, and maintain data pipelines and data models with outstanding craftsmanship * Synthesize findings, and recommendations in a clear and concise manner and communicate to senior leadership *What we look for in you (ie. job requirements):* * Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution. * PhD preferred, or a Master's degree in a field such as Economics or Statistics with 5+ years of relevant experience. * Minimum 5 years of experience in pricing experimentation, data analysis and statistical modeling * Strong proficiency in SQL, Python, R, or other programming languages used for data analysis and statistical modeling * Ability to independently create plans for analytics projects and a track record of overseeing large / complex analytical projects spanning multiple teams * Excellent communication and presentation skills with the ability to explain complex data and analysis to non-technical stakeholders. * Strong attention to detail and ability to work under tight deadlines *Nice to haves:* * Experience applying causal inference techniques outside of controlled experiments * Experience working at or on a Crypto-focused company or at a crypto exchange Disclaimer: Applying for a specific role does not guarantee consideration for that exact position. Leveling and team matching are assessed throughout the interview process. ID: G2462 \#LI-Remote *Pay Transparency Notice:* Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include bonus eligibility + equity eligibility**+ benefits (including medical, dental, vision and 401(k)). Pay Range: $180,370-$212,200 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. Commitment to Equal Opportunity Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the *********************************************** in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations*********************************** *Global Data Privacy Notice for Job Candidates and Applicants* Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available ********************************************************** By submitting your application, you are agreeing to our use and processing of your data as required. *AI Disclosure* For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description. For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. *The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment*. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com

**What You Will Do** **This position will be filled at either the Scientist 3/ Scientist 4 level, depending on the skills of the selected candidate. Additional job responsibilities (outlined below) will be assigned if the candidate is hired at the higher level.** Are you ready to begin a career in verification, validation, uncertainty quantification (VVUQ) and machine learning? If so, we encourage you to learn more about new opportunities in the Computational Physics: Verification & Analysis group (XCP-8) at the Los Alamos National Laboratory (LANL). We are looking for several highly motivated scientist candidates in the areas of verification, validation, and uncertainty quantification (VVUQ) and machine learning (ML) for computational physics. As a valued member of our team, your work will contribute to the laboratory's mission to solve national security challenges. You will be involved in the fast-paced environment of applying AI/ML to multiphysics computational modeling and verification, validation, and uncertainty quantification and assessing the credibility of AI/ML models. **Scientist 3 $ 125,200 - $ 211,300** In this role you will research and apply AI/ML VVUQ techniques to a variety of computational problems including turbulence modelling, shock propagation, material strength and HE detonation across a variety of computational physics codes and simulation workflows. A background in a relevant field of AI/ML and/or physics is preferred (e.g. fluid dynamics, solid mechanics, material strength, material failure, turbulence and/or materials properties). You will have the opportunity to publish results in peer-reviewed journals and present at well-known conferences. Candidates will have the opportunity to lead multidisciplinary teams, train and mentor staff new to VVUQ and AI/ML **Scientist 4 $ 150,300 - $ 260,800** In addition to what was outlined at the Scientist 3 level, Scientist 4 candidates will be expected to take a technical or programmatic lead on VVUQ and AI/ML directions. Moreover, candidates should influence LANL AI/ML strategy in multi-disciplinary mission relevant directions. **What You Need** **Minimum Job Requirements:** **Employment** **Employment AI/ML Trustworthiness and Credibility** Thorough knowledge and experience applying V&V, UQ, and/or machine learning to physics experiments, theory, and/or computations. Familiarity with deep learning fundamentals is beneficial. Experience assessing the credibility or trustworthiness of AI/ML models is desired. **Computational Physics and Analysis** You will need to demonstrate experience in or working with subject matter experts in numerical modeling, computational physics simulations, development of physics models, and/or understanding of relevant physics and mathematics. You should also have demonstrated an ability to distill results from computational simulations using advanced analysis, including AI/ML. **Research Expertise** You will need to have conducted high level independent research in one or more of the following areas: deep learning, AI, simulation, verification, validation, uncertainty quantification, optimization, inverse problems or a closely related focus area. **Programming** For this role you will need to be familiar with at least one of: Fortran, C++ and/or Python. Alternately experience programming in Matlab, R, TensorFlow or PyTorch may be substituted. **Teamwork and Communication** You will need a to show that you are a team player and can work in scientific team environments. You should also be able to ably communicate scientific research to peers. Examples include conference presentations, research in team environments, and/or journals publications. **Journals/Conferences** You will need a to show that you have the ability to publish research in peer-reviewed journals or conference proceedings, communicate research to an interdisciplinary audience and work on an interdisciplinary team. **Mentoring** You will need experience mentoring and training students and new staff in computational physics, VVUQ, ML, and professional development. **Additional Job Requirements for Scientist 4:** In addition to the requirements outlined above, qualification at the higher level requires: **Multidisciplinary Teams** For this role, you will need to demonstrate your experience working and leading multidisciplinary computational physics teams, including interacting with experimentalists and computational physics code users and developers. Candidates should also have experience communicating VVUQ results to management and decision-makers. **Program Development and Mentoring** You will need to demonstrate independent program development and team building. Experience mentoring staff to be technical and program leaders, professional development, and multi-year development of applied AI/ML capabilities from early to mature R&D. **Education/Experience at Scientist 3 level:** Position requires a Master's degree in a STEM field from an accredited college or university and 6 years of relevant experience or an equivalent combination of education and experience directly related to the occupation. **Education/Experience at Scientist 4 level** : Position requires a Master's degree in a STEM field from an accredited college or university and 12 years of relevant experience or an equivalent combination of education and experience directly related to the occupation. **Desired Qualifications:** + Experience running simulations on institutional-level High-Performance Computing platforms using either slurm or moab submissions. + Experience using and/or developing LANL's Advanced Simulation and Computing Program computational physics codes. + Experience developing and applying verification, validation, uncertainty quantification, or machine learning techniques to computational physics simulations. + Experience applying machine learning and artificial intelligence methods to computational workflows. + Familiarity with and demonstrated interest in NNSA's mission and a national lab research environment. + Familiarity with simulation visualization, post-processing, and communication. + The ability to obtain a Q-Clearance, which usually requires US Citizenship. Work Location: The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management. Position commitment: Regular appointment employees are required to serve a period of continuous service in their current position in order to be eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the time required, they may only apply for Laboratory jobs with the documented approval of their Division Leader. The position commitment for this position is 1 year. **Note to Applicants:** Due to federal restrictions contained in the current National Defense Authorization Act, citizens of the People's Republic of China-including the special administrative regions of Hong Kong and Macau-as well as citizens of the Islamic Republic of Iran, the Democratic People's Republic of Korea (North Korea), and the Russian Federation, who are not Lawful Permanent Residents ("green card" holders) are prohibited from accessing facilities that support the mission, functions, and operations of national security laboratories and nuclear weapons production facilities, which includes Los Alamos National Laboratory. To be considered for the position, applicants should submit a CV/resume and a detailed cover letter addressing how their experience relates to each of the required and desired skills as applicable. For specific inquiries regarding the position, please contact Brandon Wilson (**************** **).** **Where You Will Work** XCP-8 is an interdisciplinary group which specializes in VVUQ of complex numerical codes coupled by diverse physics models (fluid dynamics, hydrodynamics, solid mechanics, material strength and damage, equation of state, reactive flow, high-energy-density physics, instabilities and turbulence, and radiation transport). Research in XCP-8 is cross-cutting and interacts closely with code and physics model developers, experimentalists, and simulation end-users across a broad set of physics. XCP-8 offers an exciting, flexible, scientifically challenging work environment with many opportunities to collaborate with the broader LANL scientific community. Learn more about XCP-8 at ********************************************** Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. Our generous benefits package includes: § PPO or High Deductible medical insurance with the same large nationwide network § Dental and vision insurance § Free basic life and disability insurance § Paid childbirth and parental leave § Award-winning 401(k) (6% matching plus 3.5% annually) § Learning opportunities and tuition assistance § Flexible schedules and time off (PTO and holidays) § Onsite gyms and wellness programs § Extensive relocation packages (outside a 50 mile radius) **Additional Details** **Directive 206.2** - Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2 (******************************************************************** . Please note that this requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A. **Clearance:** Q (Position will be cleared to this level). Selected applicants will be subject to a background investigation conducted by or on behalf of the Federal Government, and must meet eligibility requirements* for access to classified matter. This position requires a Q clearance. and obtaining such clearance requires US Citizenship except in extremely rare circumstances. Dependent upon the position, additional authorization to access classified information may be required, which may or may not be available to dual citizens. Receipt of a Q clearance and additional access authorization ultimately is a decision of the Federal Government and not of Triad. *Eligibility requirements: To obtain a clearance, an individual must be at least 18 years of age; U.S. citizenship is required except in very limited circumstances. See DOE Order 472.2 (********************************************************************************************* for additional information. **New-Employment Drug Test:** The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing. Although New Mexico and other states have legalized the use of marijuana, use and possession of marijuana remain illegal under federal law. A positive drug test for marijuana will result in termination of employment, even if the use was pre-offer. **Regular position:** Term status Laboratory employees applying for regular-status positions are converted to regular status. **Internal Applicants:** Regular appointment employees who have served the required period of continuous service in their current position are eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the required period of continuous service, they may only apply for Laboratory jobs with the documented approval of their Division Leader. Please refer to Policy Policy P701 (*********************************************** for applicant eligibility requirements. **Equal Opportunity:** Los Alamos National Laboratory is an equal opportunity employer. All employment practices are based on qualification and merit, without regard to protected categories such as race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by federal, state, and local laws and regulations. The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request such an accommodation, please send an email to ****************** or call ************** opt. 3.

We are looking to fill a **Scientist III - (HPLC) Chromatography - Separations & Molecular Biology - Immunoassay Experience** position working as **a full-time employee of Parexel FSP on long-term assignment** onsite at one of our clients located in **Rahway, NJ.** This position offers full benefits, sick time, 401K, paid holidays, and paid time off. **This position does not offer any sponsorship.** **Description** Support of routine bioanalytical testing of samples from cell-line development, in-process, process development/characterization, forced degradation, release & stability, and pre-formulation. Other potential opportunities include method development/optimization, workflow optimization, and template development. **Responsibilities** + Support of high-throughput, pre-formulation, pre-qualification, robustness, or admixture testing + Results processing and documentation by following appropriate methods / protocols / procedures + Sample management and monitoring of controlled temperature units. + Following all appropriate laboratory safety and hygiene procedures **Qualifications** + BA/BS (3-5 yrs.) of relevant experience in analytical chemistry or biologics testing lab + MS (1-2 yrs.) of relevant experience in analytical chemistry or biologics testing lab **Required Skills and Experience** + Must have separations experience for large molecules or plate-based assay experience. + Experience in analyzing biologics including monoclonal antibodies and/or other therapeutic proteins using at least one of the following techniques: + Liquid Chromatography (HPLC / UPLC) + Protein A Titer, Size Exclusion Chromatography (SEC), Ion Exchange Chromatography (IEX, AEX, CEX), Reverse Phase (RP), or Hydrophobic interaction chromatography (HIC) + Electrophoretic methods such as capillary electrophoresis sodium dodecyl sulfate (CE-SDS) and/or capillary isoelectric focusing (cIEF) + ELISA (HCP, proA) and binding potency assay + qPCR and basic molecular biology techniques (gel electrophoresis, etc.) + High-throughput liquid handling system, e.g., Tecan, Bravo, etc. + Basic instrumentation troubleshooting + **Ability and willingness to train in molecular biology and immunoassay testing** + **Familiarity with Microsoft Office Applications (Outlook, Excel, Word, PowerPoint, OneNote, Teams, etc.)** **Desired Skills and Experience** + Familiarity with compendial testing such as UV 280, pH, and Physical Observations + **Ability to follow complicated scientific protocols / procedures** + Making accurate reagent preparations (dilutions / solutions / buffers / mobile phases) + Good documentation practices & utilization in electronic lab notebooks (ELN) + Analytical software such as Empower. + Knowledge of Laboratory Information Management Systems (LIMS) + Sample submission & sample management + Monitoring of controlled temperature units + Experience with BSL2 (Biosafety Level 2) **About Parexel** Parexel FSP includes the CMC Operations group. We provide pharmaceutical and biopharmaceutical companies with qualified and talented technical professionals to support the development and delivery of new therapies. For results-driven and caring individuals who want to make a meaningful difference in the world, Parexel is trusted by life sciences companies to meet their long-term staffing needs for scientists and engineers and related professionals in discovery and development of novel therapies, keeping patients at the center of everything we do, and where an inclusive community helps you be your best, transforming any career into a life-changing achievement. **Come join us!** \#LI-DK1 EEO Disclaimer Parexel is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to legally protected status, which in the US includes race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

**The Role:** General Motors is seeking a **Senior AI/ML Scientist** to join the Vehicle Mechatronic Embedded Controls (VMEC) organization. In this role, you will design and deploy advanced machine learning solutions that drive innovation across vehicle lifecycle management, diagnostics, and predictive maintenance. You will work on cutting-edge AI technologies, including large language models (LLMs), generative AI, and real-time inference systems, to enable intelligent, scalable solutions for automotive applications. **What You'll do:** + Develop and deploy production-grade ML models and AI systems for diagnostics, predictive maintenance, and anomaly detection supporting product health. + Build and optimize LLM-based applications, including Retrieval-Augmented Generation (RAG) systems for technical documentation and automated analysis. + Implement predictive models for failure detection, remaining useful life, and early warnings. + Apply advanced ML techniques such as deep learning, NLP, time-series forecasting, and generative AI. + Create scalable data pipelines and real-time inference systems. + Collaborate with cross-functional teams and mentor junior engineers. + Present insights to both technical and non-technical stakeholders and drive adoption of ML solutions through dashboards and APIs. **Your Skills & Abilities (Required Qualifications)** + Bachelor's degree in Computer Science, Engineering, or related field. + 5+ years of experience deploying ML models in production environments. + Expertise in Python and ML frameworks (PyTorch, TensorFlow). + Strong SQL and distributed data processing skills (Spark, Hive). + Real world experience with ML platforms (Databricks, MLflow, Azure ML). + Familiarity with cloud platforms and containerization (Docker, Kubernetes). **What Will Give You A Competitive Edge (Preferred Skills)** + Master's or Ph.D. in a related field. + 8+ years of experience in ML solutions. + Deep expertise with LLMs, RAG architectures, and vector databases. + Knowledge of predictive maintenance, anomaly detection, and automotive diagnostics. + Experience with generative AI technologies and advanced NLP techniques. **Compensation:** The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate. **- The salary range** for this role is 128,700 and 261,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. **- Bonus Potential:** An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: **- Benefits:** GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc). This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}. This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (************************************************************* . **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (********************************************* . **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (******************************************** We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (*********************************************** . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Meet the Team Splunk, a Cisco company, is building a safer, more resilient digital world with an end‑to‑end, full‑stack platform designed for hybrid, multi‑cloud environments. Join the Foundational Modeling team at Splunk, where we advance the state of AI for high‑volume, real‑time, multi‑modal machine‑generated data - including logs, time series, traces, and events. We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco's global engineering capabilities. Our work spans networking, security, observability, and customer experience - designing and deploying foundation models that enhance reliability, strengthen security, prevent downtime, and deliver predictive insights across Splunk Observability, Security, and Platform at enterprise scale. You'll be part of a culture that values technical excellence, impact‑driven innovation, and cross‑functional collaboration - all within a flexible, growth‑oriented environment. Your Impact * Lead the research, design, and deployment of large‑scale foundation models for machine‑generated data - primarily time series, augmented with logs traces, and events. * Optimize distributed training and inference pipelines to maximize accuracy, performance, and efficiency at scale. * Work closely with engineering, product, and data science to ensure solutions meet defined technical requirements and deliver tangible business impact. * Mentor team members and contribute directly to model architecture reviews, experimental design, and production rollout processes. * Stay current with AI/ML developments and integrate relevant advancements into ongoing projects and technical plans. Minimum Qualifications: * PhD in Computer Science, or related quantitative field, plus 1+ years of industry research experience. * Proven track record in at least one of the following areas: large language modeling for both structure and unstructured data, deep learning‑based time series modeling, advanced anomaly detection, and multi-modality modeling. * Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience translating research ideas into production systems. Preferred Qualifications: * Deep Learning for Time Series & Forecasting - Proven expertise designing and deploying architectures such as temporal transformers, temporal convolutional networks, and spatial‑temporal models. * Advanced Anomaly Detection - Experience creating robust, scalable approaches (statistical, deep learning, or hybrid) for high‑volume, real‑time time series data. * Multi‑Modal AI Modeling - Strong track record fusing logs, time series, traces, tabular data, and graphs for foundation models tackling complex operational insights. * Probabilistic Forecasting & Uncertainty Quantification - Skills in Bayesian deep learning and probabilistic models to capture and communicate predictive uncertainty. * Large‑Scale Training & Optimization - Experience optimizing model architectures, distributed training pipelines, and inference efficiency to minimize cost and latency while preserving accuracy. * MLOps & Continuous Learning - Fluency in automated retraining, drift detection, incremental updates, and production monitoring of ML models. * Strong Research Track Record - Publications in top AI/ML conferences or journals (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ACL, KDD) demonstrating contributions to state‑of‑the‑art methods and real‑world applications. Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted for this position is $174,500.00 to $226,500.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: * 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees * 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco * Non-exempt employees receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees * Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) * 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next * Additional paid time away may be requested to deal with critical or emergency issues for family members * Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: * .75% of incentive target for each 1% of revenue attainment up to 50% of quota; * 1.5% of incentive target for each 1% of attainment between 50% and 75%; * 1% of incentive target for each 1% of attainment between 75% and 100%; and * Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $199,700.00 - $292,800.00 Non-Metro New York state & Washington state: $174,500.00 - $260,500.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

**About ETS:** ETS is a global education and talent solutions organization enabling lifelong learners worldwide to be future-ready. For more than 75 years, we've been advancing the science of measurement to build benchmarks for fair and valid skill assessment across cultures and borders. Our worldwide impact extends through our renowned assessments including TOEFL , TOEIC , GRE and Praxis tests, serving millions of learners in more than 200 countries and territories. Through strategic acquisitions, we've expanded our global capabilities: PSI strengthens our workforce assessment solutions, while Edusoft, Kira Talent, Pipplet, Vericant, and Wheebox enhance our educational technology and assessment platforms across critical markets worldwide. Through ETS Research Institute and ETS Solutions, we're partnering with educational institutions, governments, and organizations globally to promote skill proficiency, empower upward mobility, and unlock opportunities for everyone, everywhere. With offices and partners across Asia, Europe, the Middle East, Africa, and the Americas, we deliver nearly 50 million tests annually. Join us in our journey of measuring progress to power human progress worldwide. The Associate R&D Data Scientist contributes to the planning, development, and execution of data science analyses for research and development projects within the ETS Research Institute. This role focuses on applying advanced data science, statistics, machine learning, and AI to make inferences and/or predictions from data. The position requires expertise in modern frameworks and cloud computing environments to support innovative research in educational measurement and assessment. **Primary Responsibilities** _Technical Responsibilties:_ Data Management and Analysis + Collect, preprocess, and manage structured and unstructured data from diverse sources, ensuring data quality and integrity. + Perform exploratory data analysis to identify trends, patterns, and actionable insights. Model Development and Evaluation + Design, implement, and validate predictive models and machine-learning algorithms using frameworks such as PyTorch/TensorFlow, and scikit-learn. + Experiment with large language models and generative AI techniques (e.g., working with large language model APIs, prompt engineering) to support innovative research. Deployment and Scalability + Develop and maintain pipelines for model deployment in cloud computing environments (e.g., AWS, Azure) to ensure scalability and reproducibility. _Research and Collaboration_ + Collaborate with scientists and cross-functional research teams to align data science efforts with program objectives + Contribute to technical reports, presentations, and publications that disseminate research findings. + Communicate complex technical concepts clearly to both technical and non-technical stakeholders. \#LI-MM1 \#Remote + Demonstrable proficiency and experience in Python and/or R for data analysis and modeling. + Hands-on experience with PyTorch/TensorFlow, Scikit-learn, and other machine learning frameworks. + Familiarity with generative AI methods and their practical applications. + Strong understanding of statistical methods, experimental design, and data visualization. + Ability to work in cloud computing environments (e.g., AWS) for model deployment and data processing. + Excellent problem-solving skills and adaptability to evolving research priorities. + Effective written and verbal communication skills for collaborative research environments. + Exceptional attention to detail, ensuring accuracy and reliability in data analysis, modeling, and reporting. **Education:** Master's degree in Data Science, Computer Science, Statistics, or a related quantitative field; or equivalent combination of education and experience. **ETS is mission driven and action oriented** + We are passionate about hiring innovative thinkers who believe in the promise of education and lifelong learning. + We are energized by cultivating growth, innovation, and continuous transformation for the next generation of rising professionals as leaders. In support of this ETS offers multiple Business Resource Groups (BRG) for you to learn and advance your career growth! + As a not-for-profit organization we will encourage you to lean in to your passion for volunteering. At ETS you may qualify for up to an additional 8 hours of PTO for volunteer work on causes that are important to you! + The base salary range advertised represents the low and high end of the anticipated salary range for this position. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. The base pay is only one aspect of the Total Rewards Package that will be offered to the successful candidate. **ETS is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, sexual orientation, gender identity, or any other characteristic protected by law. We believe in creating a work environment where all individuals are treated with respect and dignity.**

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. As part of the Privacy Science team within Privacy Hub you will play a crucial role in ensuring that privacy of patients is safeguarded in the modern world of data sharing. As well as working on real data, you will be involved in exciting research to keep us as industry leaders in this area, and stimulating discussions on re-identification risk. You will be supported in developing/consolidating data analysis and coding skills to become proficient in the analysis of large health-related datasets. **You Will:** + Critically analyze large health datasets using standard and bespoke software libraries + Discuss your findings and progress with internal and external stakeholders + Produce high quality reports which summarise your findings + Contribute to research activities as we explore novel and established sources of re-identification risk **What You Will Bring to the Table:** + Excellent communication skills. Meticulous attention to detail in the production of comprehensive, well-presented reports + A good understanding of statistical probability distributions, bias, error and power as well as sampling and resampling methods + Seeks to understand real-world data in context rather than consider it in abstraction. + Familiarity or proficiency with programmable data analysis software R or Python, and the desire to develop expertise in its language + Application of scientific methods to practical problems through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions + Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines + Initiative and ability to independently explore and research novel topics and concepts as they arise, to expand Privacy Hub's knowledge base + An appreciation of the need for effective methods in data privacy and security, and an awareness of the relevant legislation + Familiarity with Amazon Web Services cloud-based storage and computing facilities **Bonus Points If You Have:** + Experience creating documents using LATEX + Detailed knowledge of one or more types of health information, e.g., genomics, disease, health images + Experience working with or supporting public sector organizations, such as federal agencies (e.g., CMS, NIH, VA, CDC), state health departments, or public health research partners. Familiarity with government data environments, procurement processes, or privacy frameworks in regulated settings is highly valued. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $104,000-$130,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

The Santa Fe Institute -a private, not-for-profit research and education facility-has an opening for a two-year full-time postdoc. We are seeking a highly motivated scholar with expertise in Computer Science and a desire to apply their expertise to analyze the evolution of human social systems from pre-historic times up to the present. This two-year position is part of a project inspired by recent results uncovering deep connections among information theory, energy expenditure and harvesting, and computation. The goal is to investigate the long-term evolution of human social complexity through the lens of computer science theory. This position is based in-person in Santa Fe, NM. The project aims to model societies as computational systems, examining how they process and store information to adapt to dynamic environments while leveraging increasing computational power to extract more energy from the environment in order to sustain and grow. By combining insights from theoretical computer science, social science, stochastic thermodynamics and complex systems research more broadly, this work seeks to uncover how social complexity scales with population size, energy systems, economic development, and technological advancements. The research also aims to illuminate both historical transitions and pressing contemporary challenges, such as the societal impacts of AI and other transformative technologies. Responsibilities: Collaborate with PIs Kyle Harper and David Wolpert along with other team members to advance this project through research, publication, workshop organization, etc.; Collaborate with social scientists to model social systems as computational processes; Collaborate with social scientists to apply theoretical computer science tools to develop understanding of how the intrinsic computational limitations of human social systems depend on the sizes, communication networks, technologies, etc., of those social systems. Preferred Qualifications: o Ph.D. in Computer Science, Computational Social Science, or a related field (by start date). o Experience with natural language processing, machine learning, or network analysis. o Interest in interdisciplinary collaboration with historians, archaeologists, and social scientists. o Strong programming skills and familiarity with handling large, diverse datasets. What We Offer: o An intellectually vibrant and collaborative environment at the forefront of complex systems research. o Opportunities to publish in high-impact journals and engage in innovative team research. o Competitive salary, generous benefits, paid family leave, paid time off, modest relocation support and support for conference travel and professional development. The start date for the position is flexible . Applications will be considered as they are received. To Apply: Please upload the following: CV 1-page research statement The names, email addresses, and phone numbers for three references You may also email questions to Kyle Harper (*****************) or David Wolpert (*************************) . SFI is an Equal Opportunity Employer and is committed to fostering a diverse and inclusive academic global community. Women and members of underrepresented groups are especially encouraged to apply. SFI is responsive to the needs of dual career couples and is committed to building a culturally diverse research environment. U.S. citizenship is not a requirement, however, you must be legally able to work in the US. SFI will sponsor a J1 Visa for successful candidates. SFI is not able to sponsor a H1B Visa for candidates.

**What does Clinical Affairs contribute to Cardinal Health** The Clinical Affairs function manages the clinical education, medical writing and communications, research, health care economics and patient safety while ensuring compliance with applicable regulatory and governing requirements for Cardinal Health products and services. Medical Writing is a specialized role that creates clear, accurate, and compliant documents to communicate complex clinical and scientific data. It supports regulatory submissions, clinical research, and scientific communications by interpreting data and producing protocols, reports, regulatory dossiers, presentations, congress abstracts, and peer-reviewed publications, all in alignment with industry and regulatory standards. **Responsibilities:** The Senior Medical Writer will plan and develop high quality clinical documents to support Cardinal Health devices. Primary responsibilities include preparing Clinical Evaluation Reports (CERs), Post Market Plans & Reports (PMS and PMCF) as required by EU regulations. Additional responsibilities include providing input for product development and post-market sustaining core teams. Additional responsibilities may be assigned. The Senior Medical Writer has medical writing and project management experience, a thorough understanding of research methodology and the ability to develop high-quality clinical documents. Extensive knowledge of the European medical device guidelines/regulations such as MEDDEV and MDD/MDR is required, as well as other global requirements for clinical evaluation and PMS/PMCF. The Senior Medical Writer has the ability to lead cross-functional project teams. **Qualifications** + 8-12 years of experience, preferred + Bachelors in life science discipline; master's degree or PhD preferred or equivalent work experience. **Additional skills:** + Proven experience performing literature reviews, analyzing data and communicating outputs. + Ability to provide thorough peer reviews of team members' documents for completeness and correctness of data analysis & regulatory requirements. + Experience working within a medical device or pharmaceutical organization in a Research & Development, Scientific and Medical Affairs, Clinical or Regulatory role. + Experience writing scientific documents for regulatory or journal submissions + Experience presenting scientific/clinical evidence in a written and oral manner to cross-functional teams. + Demonstrated ability to build positive constructive relationships with cross-functional team members + Demonstrated high level of personal integrity, emotional intelligence, flexibility + Extensive knowledge of MDD, MDR and MEDDEV requirements, along with other applicable global requirements for clinical evaluation and PMS/PMCF + Experience creating and performing literature searches in Embase, PubMed and Google Scholar + Excellent working knowledge of Microsoft Word, Excel, PowerPoint. + Proficient in using EndNote or other reference manager software + Strong data extraction and analysis skills + Proactive with a sense of urgency in managing job responsibilities + Recommends new practices, processes, metrics or models **What is expected of you and others at this level** + Applies advanced knowledge and an understanding of concepts, principles and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions that may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range** : $123,400 - $149,855 **Bonus eligible** : Yes **Benefits** : Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs Application window anticipated to close: 2/6/2026*if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-MP1 \#LI-remote _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

Clinical Lab Scientist Pay: Competitive weekly pay (inquire for details) Shift Information: Rotating Contract Duration: 13 Weeks AlliedTravelCareers is working with Windsor Healthcare Recruitment Group, Inc. to find a qualified CLS in Santa Fe, New Mexico, 87505! SHIFT: Thursday and Friday is 07:00-17:30, and Saturday and Sunday is 07:00-15:30START: ASAPRATE: $53REQUIRED CERTIFICATION/LICENSES: CLS (NCA), MT (ASCP) or equivalent certification as a medical technologist or Clinical Laboratory Scientist as required. Must meet CLIA 88 requirements for performing high complexity testing as defined in the Federal Register, Vol. 57; #40, Subpart 493.1489.POSITION TITLE: Clinical Laboratory ScientistDEPARTMENT: St. Vincent Regional Medical Center LaboratoryPOSITION SUMMARY: Analyze specimens according to section procedures and policies, ensuring the appropriateness of the sample. Accurately apply the test procedures, confirm unusual results, and reviews and reports all results according to laboratory policy to enable clinicians to perform accurate patient assessments.MINIMUM : Bachelor s Degree required in Medical Laboratory Science or equivalent required.CERTIFICATION/LICENSES: CLS (NCA), MT (ASCP) or equivalent certification as a medical technologist or Clinical Laboratory Scientist as required. Graduates who are Registry eligible may be considered for employment, prior to receiving ASCP or equivalent certification. Must meet CLIA 88 requirements for performing high complexity testing as defined in the Federal Register, Vol. 57; #40, Subpart 493.1489. read and write English and be able to communicate effectively Laboratory equipment operation skills required.EXPERIENCE: Prefer one year of general laboratory experience.NATURE OF SUPERVISION:-Responsible to: Laboratory DirectorENVIRONMENT:- Bloodborne pathogenA (Routine exposure risk. Routine exposure in daily duties. Exposed to potentially infectious material on a regular basis and is part of the expected job task.) May be required to wear gloves, laboratory coat, facemask, goggles. Exposed to carcinogenic, hazardous and flammable chemicals, biohazardous and radioactive materials, sharp needles and blades, infectious specimens, toxic fumes and mental stress.PHYSICAL REQUIREMENTS: May be required to work more than a standard shift as dictated by workload, staffing, and equipment failure. Standing, sitting, and/or ambulating for the entire shift assigned. Prefer the ability to move Laboratory supplies and equipment up to 50 pounds.Show more About Windsor Healthcare Recruitment Group, Inc. WHR isn't just another staffing agency - we're a tightly-knit family committed to empowering healthcare professionals to not just find jobs, but to carve out fulfilling careers. When you choose to partner with us, you unlock a world of opportunities. 11224695EXPPLAT PandoLogic. Category:Healthcare, Keywords:Medical Technologist (MT), Location:Santa fe, NM-87592

JP2830 - Engineer / Scientist 3

The NMHU-DMREF represents a collaboration between New Mexico Highlands University ( NMHU ), University of Colorado Boulder (CU Boulder) and Duke University in the design, synthesis and applications of synthetic Perovskite materials. An appointee in this position will be responsible for the chemical synthesis and characterization of organic-inorganic hybrid materials, including but not limited to manganese-halide perovskites and light element metal complexes. Characterization of synthesized materials will include diffraction, spectroscopic, magnetic and thermal characterization and other methods. An appointee should supervise both undergraduate and graduate students. He/she should present the obtained results through research conference presentations and publications. Duties And Responsibilities Conduct research in the appropriate field of materials science and chemistry, publish findings in professional journals, and apply for extramural funding. Maintain regular attendance on campus; hold office hours as required; advise and mentor undergraduate and graduate students. Perform other related duties as assigned. Preferred Qualifications Strong publication records. Knowledge of materials modeling and desire to collaborate with colleagues applying machine learning and artificial intelligence methods to predictions of materials structure - properties relations. Strong work ethic and motivation to lead multiple research programs.

We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. **Required Skills:** Data Scientist, Analytics (Technical Leadership) Responsibilities: 1. Work with complex data sets to solve challenging problems using analytical and statistical approaches 2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies 3. Identify and measure success through goal setting, forecasting, and monitoring key metrics 4. Partner with cross-functional teams to inform and execute product strategy and investment decisions 5. Build long-term vision and strategy for programs and products 6. Collaborate with executives to define and develop data platforms and instrumentation 7. Effectively communicate insights and recommendations to stakeholders 8. Define success metrics, forecast changes, and set team goals 9. Support developing roadmaps and coordinate analytics efforts across teams **Minimum Qualifications:** Minimum Qualifications: 10. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 11. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab) 12. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development 13. Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance 14. Experience with predictive modeling, machine learning, and experimentation/causal inference methods 15. Experience communicating complex technical topics in a clear, precise, and actionable manner **Preferred Qualifications:** Preferred Qualifications: 16. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy 17. Masters or Ph.D. Degree in a quantitative field 18. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research) 19. 10+ years of experience doing complex quantitative analysis in product analytics **Public Compensation:** $210,000/year to $281,000/year + bonus + equity + 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.

**Meet the Team** Splunk, a Cisco company, is building a safer, more resilient digital world with an end‑to‑end, full‑stack platform designed for hybrid, multi‑cloud environments. Join the Foundational Modeling team at Splunk, where we advance the state of AI for high‑volume, real‑time, multi‑modal machine‑generated data - including logs, time series, traces, and events. We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco's global engineering capabilities. Our work spans networking, security, observability, and customer experience - designing and deploying foundation models that enhance reliability, strengthen security, prevent downtime, and deliver predictive insights across Splunk Observability, Security, and Platform at enterprise scale. You'll be part of a culture that values technical excellence, impact‑driven innovation, and cross‑functional collaboration - all within a flexible, growth‑oriented environment. **Your Impact** + Lead the research, design, and deployment of large‑scale foundation models for machine‑generated data - primarily time series, augmented with logs traces, and events. + Optimize distributed training and inference pipelines to maximize accuracy, performance, and efficiency at scale. + Work closely with engineering, product, and data science to ensure solutions meet defined technical requirements and deliver tangible business impact. + Mentor team members and contribute directly to model architecture reviews, experimental design, and production rollout processes. + Stay current with AI/ML developments and integrate relevant advancements into ongoing projects and technical plans. **Minimum Qualifications:** + PhD in Computer Science, or related quantitative field, plus 1+ years of industry research experience. + Proven track record in at least one of the following areas: large language modeling for both structure and unstructured data, deep learning‑based time series modeling, advanced anomaly detection, and multi-modality modeling. + Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) + Experience translating research ideas into production systems. **Preferred Qualifications:** + Deep Learning for Time Series & Forecasting - Proven expertise designing and deploying architectures such as temporal transformers, temporal convolutional networks, and spatial‑temporal models. + Advanced Anomaly Detection - Experience creating robust, scalable approaches (statistical, deep learning, or hybrid) for high‑volume, real‑time time series data. + Multi‑Modal AI Modeling - Strong track record fusing logs, time series, traces, tabular data, and graphs for foundation models tackling complex operational insights. + Probabilistic Forecasting & Uncertainty Quantification - Skills in Bayesian deep learning and probabilistic models to capture and communicate predictive uncertainty. + Large‑Scale Training & Optimization - Experience optimizing model architectures, distributed training pipelines, and inference efficiency to minimize cost and latency while preserving accuracy. + MLOps & Continuous Learning - Fluency in automated retraining, drift detection, incremental updates, and production monitoring of ML models. + Strong Research Track Record - Publications in top AI/ML conferences or journals (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ACL, KDD) demonstrating contributions to state‑of‑the‑art methods and real‑world applications. **Why Cisco?** At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. **Message to applicants applying to work in the U.S. and/or Canada:** The starting salary range posted for this position is $174,500.00 to $226,500.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: + 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees + 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco + Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees + Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) + 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next + Additional paid time away may be requested to deal with critical or emergency issues for family members + Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: + .75% of incentive target for each 1% of revenue attainment up to 50% of quota; + 1.5% of incentive target for each 1% of attainment between 50% and 75%; + 1% of incentive target for each 1% of attainment between 75% and 100%; and + Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $199,700.00 - $292,800.00 Non-Metro New York state & Washington state: $174,500.00 - $260,500.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements. Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

is remote and can be based anywhere within the United States._ **At Cardinal Health, we're developing the innovative products and services that make healthcare safer and more productive. Join a growing, global company genuinely committed to making a difference for our customers and communities.** The Sr. Scientist, Scientific Operations, Real-World Evidence will have responsibility to design, and/or conduct innovative Real-World Data (RWD) and Real-World Evidence (RWE) projects for biopharmaceutical manufacturers. This individual will have subject matter expert (SME) in healthcare research, with knowledge and understanding of biomarkers, treatment patterns, measurement of treatment efficacy, and tolerability through chart review, EMR, or administrative claims databases. The position requires strong verbal and written communications skills that are necessary to translate research findings into peer-reviewed abstracts and manuscripts. **_Responsibilities_** + Provide research expertise on RWD/RWE studies in a principal-investigator level scientific role + Work in a role that is heavily client-facing and consultative, providing expert guidance on study objectives and methodology to life sciences partners + Support the generation of high-quality real-world research studies using chart review, administrative claims, and electronic medical record methods/data + Support the business development process by serving as an SME for healthcare research in terms of design, proposal development, protocol development, analysis, and reporting + Proactively address complex analytical issues with research analytics and research operations team members during the conduct of a study + Work in a fast-paced and accountable environment engaging on multiple projects with multiple manufacturers at the same time + Interact with internal and/or external leaders, including senior management + Guide members of multiple research teams into consensus in sensitive situations while maintaining positive relationships + Write and review research study concepts, protocols, statistical analysis plans, table shells, and reports (must have substantial writing and communication skills) + Determine appropriate research methods and data sources to deliver high-value and quality real-world research to pharmaceutical manufacturers + Communicate effectively and professionally with pharmaceutical RWE customers + Generate and review empirical abstracts and publications + Prepare and review responses to proposal requests for RWE/HEOR projects + Prepare RWE/HEOR data as background materials for discussion with pharmaceutical customers + Ability to provide excellent customer service when delivering work on projects + Develop expertise in RWE/HEOR through publications and presentations of scientific research + Collaborate with RWE team, as required, to compile evidence required to execute projects for pharmaceutical clients **_Qualifications_** + Education: MA/MS or PhD in epidemiology, health services research, or similar field, highly preferred + Ability to travel a few times during the year for conferences and client meetings + 4+ years of relevant working experience (during employment and/or while obtaining advanced degree); 1 year in the pharmaceutical/medical industry within a pharmaceutical company or a pharmaceutical consulting company, highly preferred + Knowledge of RWE and HEOR and its application to specialty drugs within the US market + Leadership skills and problem-solving capability + Demonstrated success implementing projects, including engagement with key stakeholders, with high degree of autonomy + Excellent written and verbal communication skills, and presentation skills + Ability to travel domestically, as needed **Anticipated salary range:** $123,400 - $141,000 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** **01/19/26** *if interested in opportunity, please submit application as soon as possible. _**The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity._ _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

JP2830 - Engineer / Scientist 3 Minimum Job Requirements: Design Experience Experience in mechanical computer aided design, manufacturing, inspection, assembly and testing. Experience checking Creo models and drawings for form, fit, and function, conducting tolerance and stack analysis, as well as standards compliance. Advanced and proven mechanical design experience for ensuring product definition meets requirements for producibility while reducing product defects. Advanced knowledge and experience in recommending methods for improvement, which comply with NNSA, laboratory and industry standards, and best practices for model-based definition. Proven experience working with Creo 3D CAD software, PDMLink Product Lifecycle Management (PLM), GD&T, and tolerance stack up analysis software. Active Q clearance required Standards Expertise Expert level knowledge in the application of ASME Y14 standards knowledge, with emphasis on Y14.5 - 2009 and Y14.41 MBD. Expert experience with developing and interpreting 3D CAD models standards, practices, and procedures used in the Nuclear Security Enterprise (NSE) within LANL and industry for conveying design intent internally and to other national laboratories and production plants. Extensive knowledge of hardware fabrication, inspection, and assembly processes. Expert experience with weapon-system configuration management workflows for authorization, review, release, and distribution of models, drawings, specifications, and related product definition. Communication and Teamwork Demonstrated ability to work on multiple tasks for a variety of customers to ensure product definition meets requirements and design intent. Proven experience leading reviews for design, manufacture, assembly, and tests. Demonstrated effective and efficient written and verbal communication skills. Record of developing constructive, cooperative working relationships, and supporting teams consisting of engineers, physicists, scientists, technologists, and technicians in the development of products. Leadership Experience Experience leading and guiding others through design and modeling techniques. Proven ability to mentor other checkers and design staff in mechanical design and modeling. Proven skills in guiding teams consisting of staff from diverse backgrounds through design iterations to address potential engineering defects, as well as suggesting methods of improvement, per relevant standards and best practices. Education/Experience: Position requires a Bachelor's Degree in Engineering Technology, or related degree from an accredited institution, and 8 years of directly related experience; or, an equivalent combination of education and experience directly related to the occupation. Desired Qualifications: • Significant experience in draft/design work in both weapons and non-weapons arenas. • Significant experience in the development and implementation of organizational design and/or drafting standards. Note to Applicants: • For full consideration, applicants must submit a resume and comprehensive cover letter addressing each key requirement of this position. COMPA is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, national origin, sexual orientation, disability, or protected Veteran status. COMPA's policy could disqualify an applicant who has certain criminal history from employment in particular positions.

The NMHU-BioPACIFIC MIP PREM represents a collaboration between New Mexico Highlands University ( NMHU ) and BioPACIFIC Materials Innovation Platform ( MIP ) at University of California, Santa Barbara ( UCSB ) and University of California, Los Angeles ( UCLA ) in design, synthesis and applications of metal-organic hybrid biomaterials. An appointee in this position will be responsible for chemical synthesis and characterization of organic-inorganic hybrid materials including but not limited to metal organic frameworks (MOFs) and synthetic perovskites. Characterization of synthesized materials will include diffraction, spectroscopic, magnetic and thermal characterization and other methods. An appointee should supervise both undergraduate and graduate students. He/she should present obtained results in form of research conference presentations and publications. Duties And Responsibilities Conduct research in the appropriate field of materials science and chemistry, publish findings in professional journals, and apply for extramural funding; Maintain regular attendance on campus; hold office hours as required; advise and mentor undergraduate and graduate students; Perform other related duties as assigned. Preferred Qualifications Strong publication records. Knowledge of materials modeling and desire to collaborate with colleagues applying machine learning and artificial intelligence methods to predictions of materials structure - properties relations. Strong work ethic and motivation to lead multiple research programs.