Doctoral Fellow jobs at Cleveland Clinic - 340 jobs

When you join the growing BILH team, you're not just taking a job, you're making a difference in people's lives.The Health Economics Section of the Richard A. and Susan F. Smith Center for Outcomes Research at Beth Israel Deaconess Medical Center, led by Dr. Dhruv Kazi, is seeking a highly motivated Postdoctoral Research Fellow to join our team. Our group is devoted to addressing the most pressing questions in cardiovascular medicine and population health using state-of-the-science methods in epidemiology, economics, and decision science. Our work, primarily funded by the NIH, examines comparative effectiveness of therapies in high-risk populations, the real-world cost-effectiveness of novel cardiovascular prevention strategies, and the economic and health impacts of clinical and policy interventions. This is an exceptional opportunity to work with a team whose research is:• regularly published in high-impact journals like Circulation, JACC, and JAMA Cardiology• presented at major national and international conferences• cited in clinical guidelines• and influential in shaping drug pricing, coverage decisions, and health policy.Our work on the value and affordability of cardiovascular interventions has helped millions of individuals access high-quality, affordable care.What We Offer:• Opportunities to work on projects that may involve: Building, validating, and applying disease simulation models in R (TreeAge experience also welcome) Partnering with our statistical team to extract insights from large clinical and administrative datasets• A collaborative, mission-driven, interdisciplinary environment at the intersection of medicine, epidemiology, biostatistics, and health economics• Close mentorship from Dr. Dhruv Kazi and senior faculty across the Smith Center• Opportunities to lead first-author papers and contribute to multiple team science projects• Protected time for research, skill development, and career planning• Access to rich data sources and modeling infrastructure• Salary and benefits, aligned with NIH postdoctoral scales• A vibrant academic community within BIDMC, Harvard Medical School, and the Harvard T.H. Chan School of Public Health. The ideal candidate would have:• A PhD, or equivalent in epidemiology, economics, decision science, biostatistics, computer science, or a related field• Demonstrated experience in simulation modeling of chronic diseases • Proficiency in R (or modeling experience in TreeAge with willingness to transition to R)• Knowledge of cardiovascular epidemiology • A track record of scholarly productivity (e.g., manuscripts, conference abstracts)• Strong communication skills and a collaborative, team-oriented mindset.This position is designed for individuals pursuing advanced postdoctoral training in preparation for a successful independent research career after two years in this position.Job Description:Primary Responsibilities:- Abides by the institutional policies of BIDMC relating to health and safety, equality of opportunity and data storage and management. (essential)- As a member of the research team, actively pursues research under the supervision of a principal investigator while developing skills for independent work. (essential)- Receives training in and performs duties contributing to the investigational work of the team including formulation of research questions and design, conduct of experiments, and evaluation of results. (essential)- Prepares and publishes scientific manuscripts under direction of PI. (essential)- Develops expertise in desired lab skills/informatics/ physics/clinical research. Develops proficiency with research tools and equipment. Develops ability to work with more independence as the fellowship progresses (essential)- Develops new ideas that promote current research; brings new expertise to the research program. (essential)- teaching skills and provide supervision of students and their projects when appropriate. (essential)- Engages in collaborative meetings with other research groups. Attends and leads scientific seminars. (essential)- Learns to identify, acknowledge and correct deficiencies in one's own performance. (essential)- Under the direction of PI, pursues/secures independent funding near the end of the fellowship. (essential) Required Qualifications:Doctoral Degree or M.D.0-1 year of postdoctoral research experience in academic or industrial lab setting, and/or teaching assistantship in a university setting, and/or residency, and/or clinical duties beyond that of the qualifying doctoral degree.Competencies:Decision Making: Ability to make decisions that are guided by general instructions and practices requiring some interpretation. May make recommendations for solving problems of moderate complexity and importance.Problem Solving: Ability to address problems that are varied, requiring analysis or interpretation of the situation using direct observation, knowledge and skills based on general precedents.Independence of Action: Ability to follow precedents and procedures. May set priorities and organize work within general guidelines. Seeks assistance when confronted with difficult and/or unpredictable situations. Work progress is monitored by supervisor/manager.Written Communications: Ability to summarize and communicate in English moderately complex information in varied written formats to internal and external customers.Oral Communications: Ability to comprehend and communicate complex verbal information in English to medical center staff, patients, families and external customers.Knowledge: Ability to demonstrate in-depth knowledge of concepts, practices and policies with the ability to use them in complex varied situations.Team Work: Ability to lead collaborative teams for larger projects or groups both internal and external to the Medical Center and across functional areas. Results have implications for the management and operations of multiple areas of the organization.Customer Service: Ability to provide a high level of customer service and staff training to meet customer service standards and expectations for the assigned unit(s). Resolves service issues in the assigned unit(s) in a timely and respectful manner.Physical Nature of the Job:Light work: Exerting up to 20 pounds of force frequently to move objects. Some elements of the job are sedentary, but the employee will be required to stand for periods of time or move throughout the hospital campus. Pay Range: $60,320.00 USD - $90,001.60 USDThe pay range listed for this position is the annual base salary range the organization reasonably and in good faith expects to pay for this position at this time. Actual compensation is determined based on several factors, that may include seniority, education, training, relevant experience, relevant certifications, geography of work location, job responsibilities, or other applicable factors permissible by law. As a health care organization, we have a responsibility to do everything in our power to care for and protect our patients, our colleagues and our communities. Beth Israel Lahey Health requires that all staff be vaccinated against influenza (flu) as a condition of employment.More than 35,000 people working together. Nurses, doctors, technicians, therapists, researchers, teachers and more, making a difference in patients' lives. Your skill and compassion can make us even stronger.Equal Opportunity Employer/Veterans/Disabled

When you join the growing BILH team, you're not just taking a job, you're making a difference in people's lives.Individual has progressed beyond the Research Fellow/Trainee stage and is functioning at the independent Principal Investigator level. Incumbent in this position may be in the entry to more senior level at varying degrees of independence. Must have been awarded or have completed the requirements for a doctoral degree or foreign equivalent.Job Description:Essential Responsibilities: Conducts research in area of specialty.Has the authority to direct and support managers with functional area responsibilities.Has the direct responsibility to undertake the following employment actions: hiring, termination, corrective action and performance reviews.Has full responsibility for planning, monitoring and managing department budget.Direct Reports: None Indirect Reports: NoneRequired Qualifications- Ph.D. and/or Medical Degree required.- 0-1 years related work experience required, including, 1 year of supervisory/management experience required.- Advanced technical computer skills as required for technical support specific to functional area and related systems.Competencies:Written Communications: Ability to communicate complex information in English effectively in writing to all levels of staff, management and external customers across functional areas.Oral Communications: Ability to verbally communicate complex concepts in English and address sensitive situations, resolve conflicts, negotiate, motivate and persuade others.Knowledge: Ability to demonstrate broad and comprehensive knowledge of theories, concepts, practices and policies with the ability to use them in complex and/or unprecedented situations across multiple functional areas.Teamwork: Ability to lead and direct multiple collaborative teams for large projects or groups both internal and external to the Medical Center and across functional areas. Results have significant implications for the management and operations of the organization.Customer Service: Ability to lead operational initiatives to meet or exceed customer service standards and expectations in assigned unit(s) and/or across multiple areas in a timely and respectful manner.Physical Nature of the Job:Light work: Exerting up to 20 pounds of force frequently to move objects. Some elements of the job are sedentary, but the employee will be required to stand for periods of time or move throughout the hospital campus. Pay Range: $60,320.00 USD - $150,009.60 USDThe pay range listed for this position is the annual base salary range the organization reasonably and in good faith expects to pay for this position at this time. Actual compensation is determined based on several factors, that may include seniority, education, training, relevant experience, relevant certifications, geography of work location, job responsibilities, or other applicable factors permissible by law. As a health care organization, we have a responsibility to do everything in our power to care for and protect our patients, our colleagues and our communities. Beth Israel Lahey Health requires that all staff be vaccinated against influenza (flu) as a condition of employment.More than 35,000 people working together. Nurses, doctors, technicians, therapists, researchers, teachers and more, making a difference in patients' lives. Your skill and compassion can make us even stronger.Equal Opportunity Employer/Veterans/Disabled

A cancer research institute in Boston seeks an Artificial Intelligence & Machine Learning Engineer/Scientist I. The role involves consulting with scientists, managing projects, and developing machine learning solutions. Applicants should have at least a Bachelor's degree and experience in AI, Python programming, and ideally a clinical or research setting. The position offers a salary range of $90,400 - $106,400 based on qualifications and experience. #J-18808-Ljbffr

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

A leading cancer research institute in Boston is looking for a Principal Artificial Intelligence & Machine Learning Engineer/Scientist I. This role involves working on short-term and long-term projects that revolutionize cancer research using AI and machine learning. Candidates should possess a Master's degree, have 8+ years of experience in AI/ML, and be proficient in Python. The position offers a competitive salary range of $154,000 to $184,500 and invites applicants committed to innovative cancer care. #J-18808-Ljbffr

A cancer research organization in Boston seeks a Principal Artificial Intelligence & Machine Learning Engineer I/Scientist I. This role involves collaborating with physician scientists and leading research efforts. The ideal candidate has a Master's degree, 8+ years of experience in AI/ML, and strong Python skills. The position requires problem-solving abilities, team collaboration, and experience in clinical or research environments. A commitment to diversity and inclusion is essential for this role. #J-18808-Ljbffr

Program Description In October 2021, Washington Emergency Care Physicians (WECP) proudly opened the first Pacific Northwest-based emergency medicine post graduate program for advance practice providers (APPs). The Program is specifically designed for physician assistants and nurse practitioners who are interested in a life-long career in emergency medicine with training sites in the Puget Sound through Tacoma Emergency Care Physicians (TECP), a subsidiary of WECP. Program Objectives To provide exceptional training and experience for APP professionals to have a successful career in any emergency department setting. To prepare candidates well for recognized emergency medicine APP examinations (NCCPA-CAQ for physician assistants, AANPCB Boards for nurse practitioners) Curriculum Fifteen (15) months program duration with over 3000 hours of post graduate training Close to 2400 hours of clinical training Over 300 hours of didactics to include over an introductory bootcamp followed my weekly activities that include conferences, meetings, case presentations, ultrasound training, procedure lab or simulation. Over 400 hours of independent study to include case review & presentation preparation, assigned CME and readings, and scholarly research project. Expected commitment of 50 hours per week of the above activities Phased Training with increasing levels of expected competency and confidence. Post Graduate APP 0: Pre-Boot Camp: 37 hours of on-line Emergency Medicine CME months before start of Program Boot Camp: First 2 weeks at start of Program Post Graduate APP 1: Six (6) months of ED clinical shifts in low acuity zones Post Graduate APP 2: Two and half (2.5) months of external rotations - Trauma (4 wks), Peds UCC & ED(4 wks), Ophthalmology/Critical Care/Interventional Rad(1.5 wks), Vacation(1wk) Post Graduate APP 2: Six (6) months of ED clinical shifts in high acuity zones Continuing Medical Education Required 150+ CME hours (provided and paid for by Program) Original EM Boot Camp on-line course, to be completed before start of program EMRAP subscription for duration of program DynaMed subscription ATLS, PALS Faculty Advisor & Mentor will be assigned to each post graduate candidate Regularly scheduled monthly meetings with Faculty Advisor Advisor to monitor progress and identify strengths/areas of improvement Advisor with candidate will develop individualized plan to ensure continued growth and development Senior Post Grad APPs are expected to mentor Junior Postgrads. Two (2) classes per year Fall - October 1st with 2 candidates Spring - April 1st with 2 candidates Training Locations All sites are part of MultiCare Health Systems Puget Sound: MultiCare Tacoma General (Level 2 Trauma, primary cardiac & stroke), Allenmore (Level 4 Trauma), and Covington Hospitals Admission requirements Must have graduated from an accredited PA/NP school Must be certified/licensed in Washington State after 4 weeks of starting program Must be able to evaluate and treat both pediatric and adult patients Must be willing to relocate to the Puget Sound for duration of program. Must be ACLS and PALS certified for duration of program Compensation & Benefits Salary: $65,780 per year ($82,150 for the 15-month Term) Reimbursement for licensing, certification, credentialing fees Benefits: medical and dental insurance, short-term disability insurance, 80 hours of PTO Eligible for retirement benefits if permanently hired after completion of program How to Apply Submit you most current Curriculum Vitae on ******************************************** Submit personal statement explaining why you are applying to the program along with your long-term professional goals Send three (3) letters of recommendation to the Program Director - to be sent directly from the authors of the letters. At least one letter must be from school director or faculty. Send your PA/NP school transcripts to the Program Director. Selected applicants will be asked to participate in an initial interview using a virtual video conference format. From those, applicants will be further selected to advance to a secondary in-person interview in Tacoma, WA Application Timeline Preliminary interviews will be scheduled once submitted application is completed (which include Letters of Recommendation) Spring class: please submit application with LORs by June 1st (10 months prior to start) Fall class: please submit application with LORs by December 1st (10 months prior to start). Frequently Asked Questions Weblink Contact Information Jaime Delcampo, MD, FACEP Program Director ***************************** ************** Cody Balogh, PA-C Assistant Program Director ************************** Joe Montgomery, PA-C Core Faculty/ Advisor ******************************** Amanda Stalder, PA-C Core Faculty/ Advisor *****************************

About KariusKarius is a life science, venture-backed clinical metagenomics company, focused on elevating patient care through microbial insights. We are committed to advancing diagnostic science and technology to optimize the diagnosis and treatment of infectious diseases. Through the use of genomics and AI, we are driven to improve the diagnostic landscape for infectious diseases. Karius delivers unprecedented diagnostic insight detecting microbial cell-free DNA circulating in the body to assist physicians to make rapid treatment decisions. Why Should You Join Us?Karius' core mission is to conquer infectious diseases through innovations around genomic sequencing and machine learning. The company's platform is already delivering unprecedented insight into the microbial landscape, providing clinicians with a comprehensive test capable of identifying more than a thousand pathogens directly from blood. Through this journey, we realized that the microbial cell-free DNA platform may hold value that goes well beyond the direct diagnosis of infections. You, as part of the Karius team, will be able to see the immense opportunity to expand the human knowledge around this emerging topic and apply it directly to critical problems in human health and disease. Position SummaryYou are highly curious, creative, and driven by a desire for continuous growth with the ultimate goal of making a meaningful impact on patients' lives. As a key and integral member of the Computational Biomarker Discovery team, you will focus on deeply exploring and analyzing the complex biological interplay between diverse conditions and molecular data. In this role, you will help unlock and help unlock preliminary biological signatures to inform translational science and precision medicine beyond the conventional infectious disease arena, and into areas such as autoimmune and cancer. You will design analysis plans, execute computational workflows, partner for method and machine learning model development, and integrate biological rationale with data-driven insights to uncover meaningful connections. You bring a passion for applying technology in novel ways, generating innovative hypotheses, and revealing hidden patterns in data. Your curiosity and analytical rigor will drive discoveries that push the boundaries of biomarker research and patient care. Reports to: Director, Computational Biomarker Discovery Location: Redwood City, CA (Hybrid) or Remote (USA) Primary Responsibilities• Lead data analysis and interpretation of complex biological datasets, including next-generation sequencing (NGS), metagenomics, transcriptomics, fragmentomics, and single-cell analysis.• Create or adapt computational tools and algorithms to support biomarker discovery and workflows.• Drive bioinformatics aspects of cross-functional research projects in collaboration with scientific and medical leaders, under the guidance of the Director of Computational Biomarker Discovery.• Conduct deep exploration of the biological interplay between molecular data and disease conditions, generating insights to advance translational science.• Deliver preliminary biological signatures that inform precision medicine applications beyond infectious disease, including autoimmune disorders and oncology.• Partner in experimental design by defining analysis plans, selecting appropriate methodologies, and executing computational analyses with a strong grounding in biological rationale.• Collaborate closely with scientific, medical, engineering, and commercial teams to set company goals and support the development of new partnerships and products.• Ensure high standards of data integrity, quality control, and validation, while maintaining rigorous quality documentation and dissemination of scientific findings.• Provide clear visibility into areas of ownership and communicate weekly progress and results to stakeholders.• Continue to grow and learn in the necessary biological/scientific domains and technological aspects of the field through novel knowledge acquisition but also staying current with the latest relevant literature.• Share enthusiasm for exploring novel applications of Karius' technology platform to drive innovation and impact. What's Fun About the Job?Karius is operating at the edge of what is now known to be possible in infectious disease diagnostics. With that, comes a wave of new and incredible challenges and opportunities. To deliver on that value, you will be tapping into some of the most advanced technologies, architecting and innovating where the current solutions simply don't suffice. You will get to see how much your work really matters. Travel: Travel to HQ on a quarterly basis if remote. Physical RequirementsSubject to extended periods of sitting and/or standing, vision to monitor, and moderate noise levels. Work is performed in an office environment. Position Requirements• Ph.D. in computer science, statistics, mathematics, physics, genetics, bioinformatics, metagenomics, or related fields (preferably with a focus on computational biology or machine learning) with 3+ years of postdoctoral and/or industry experience; OR Master's degree with 5+ years of directly relevant industry experience.• Publications demonstrating the use of innovative mathematical or computational models to investigate and interpret biological and biomarker data.• Strong background in modern statistics and machine learning, including applications to biomarker discovery.• Proven proficiency with high-dimensional, large-scale datasets characterized by low signal-to-noise.• Demonstrated excellence in communication and collaboration within cross-functional, multidisciplinary teams.• Self-starter with the ability to independently drive results and influence project direction.• Evidence of innovation in connecting biological insights to complex mechanisms of microbiome and host-environment interactions.• Deep understanding and hands-on experience with bioinformatics tools, methods, and workflows, especially those related to next-generation sequencing (NGS) data analysis.• Familiarity with exploratory study and clinical trial designs and analyses, particularly in pharmaceutical or biotechnology applications. Personal Qualifications• Passionate, purpose-driven, and excited about Karius' mission: to conquer infectious diseases through innovations around genomic sequencing and machine learning.• Excellence at communication and collaboration within a cross-functional team.• Detail oriented with exceptional organizational and time management skills.• Self-starting mentality and ability to drive results.• Comfortable working in an environment which combines both research aspects as well as development.• Ability to work effectively and efficiently in a fast-paced (startup) environment. DisclaimerThe above is intended to describe the general nature and level of work being performed by individuals assigned to this position. It is not intended to be an exhaustive list of all duties, responsibilities, and skills required. Responsibilities and duties may change or be adjusted to meet the needs of the company, and additional duties may be assigned as necessary. The job description is subject to change at any time at the discretion of Karius. Equal Opportunity EmployerAt Karius, we value a diverse and inclusive workplace and provide equal employment opportunities for all applicants and employees and are committed to honor and invest in the full diversity of people, in our hiring, recruiting and development of employees across the Company. All qualified applicants for employment are encouraged to apply and will be considered without regard to an individual's race, color, sex, gender identity and gender expression (including transgender individuals who are transitioning, have transitioned, or are perceived to be transitioning to the gender with which they identify), religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws. If you are unable to submit your application due to a disability, please contact us at *********************** and we will accommodate qualified individuals with disabilities.

About KariusKarius is a life science, venture-backed clinical metagenomics company, focused on elevating patient care through microbial insights. We are committed to advancing diagnostic science and technology to optimize the diagnosis and treatment of infectious diseases. Through the use of genomics and AI, we are driven to improve the diagnostic landscape for infectious diseases. Karius delivers unprecedented diagnostic insight detecting microbial cell-free DNA circulating in the body to assist physicians to make rapid treatment decisions. Why Should You Join Us?Karius' core mission is to conquer infectious diseases through innovations around genomic sequencing and machine learning. The company's platform is already delivering unprecedented insight into the microbial landscape, providing clinicians with a comprehensive test capable of identifying more than a thousand pathogens directly from blood. Through this journey, we realized that the microbial cell-free DNA platform may hold value that goes well beyond the direct diagnosis of infections. You, as part of the Karius team, will be able to see the immense opportunity to expand the human knowledge around this emerging topic and apply it directly to critical problems in human health and disease. Position SummaryYou are highly curious and creative and desire to continuously grow and improve in your goal to make an impact on patients. You will be a key member of the Assay Development Analytics (ADA) team that helps drive the computational aspects of assay development, focusing on analysis and optimization of new chemistries and lab techniques. You will participate in experimental design, conduct thoughtful computational analyses by determining the analysis plan and executing it using the necessary tools and methodologies. You will work closely with colleagues in Molecular Biology to understand and deliver on our shared goals. You are a self-starter and always like to find ways to make things better. Reports to: Sr. Manager, Bioinformatics Location: Redwood City, CA or hybrid or remote Primary Responsibilities• Individual contributor to Assay Development Analytics (ADA), which drives the computational aspects of assay development, focusing on analysis and optimization of new chemistries and lab techniques.• Participate in experimental design, conduct computational analyses, understand rationale, set the analysis plan, and execute using the necessary tools and methodologies to deliver innovative assays.• Work closely with colleagues across the Molecular Biology and Laboratory Operations teams to understand the properties of the assays and ways to improve our technologies.• Continue to grow and learn in the necessary mathematical, technological, and software aspects of the field through internal knowledge acquisition and staying current with the latest relevant literature.• Open to exploring multiple approaches for problem-solving and modeling including borrowing across a wide range of quantitative disciplines.• Ensure high standards of data integrity, quality control, and validation, while maintaining rigorous quality documentation and dissemination of scientific findings.• Provide clear visibility into areas of ownership and communicate weekly progress and results to stakeholders.• Continue to grow and learn in the necessary biological/scientific domains and technological aspects of the field through novel knowledge acquisition but also staying current with the latest relevant literature.• Share a passion for ensuring the quality of our statistical analysis, via reliability, reproducibility, and rigor. What's Fun About the Job?Karius is operating at the edge of what is now known to be possible in infectious disease diagnostics. With that, comes a wave of new and incredible challenges and opportunities. To deliver on that value, you will be tapping into some of the most advanced technologies, architecting and innovating where the current solutions simply don't suffice. You will get to see how much your work really matters. Travel: Travel to HQ on a quarterly basis if remote. Physical RequirementsSubject to extended periods of sitting and/or standing, vision to monitor, and moderate noise levels. Work is performed in an office environment. Position Requirements• Ph.D. in computer science, statistics, mathematics, physics, genetics, bioinformatics, metagenomics, or related fields (preferably with a focus on computational biology or machine learning) with 3+ years of postdoctoral and/or industry experience; OR Master's degree with 5+ years of directly relevant industry experience.• Publications demonstrating innovative investigation and interpretation of biological data. • Proven proficiency, and understanding of, modern statistics and machine learning.• Proven proficiency with high-dimensional, large-scale datasets characterized by low signal-to-noise.• Demonstrated excellence in communication and collaboration within cross-functional, multidisciplinary teams.• Self-starter with the ability to independently drive results and influence project direction.• Evidence of innovation in connecting biological insights to complex mechanisms of microbiome and host-environment interactions.• Familiarity with a range of relevant laboratory techniques (either through hands-on work or from collaborations with laboratory-focused colleagues).• Familiarity and experience with bioinformatics tools, approaches, and workflows, particularly those related to next-generation sequencing data analysis.• Familiarity with design of experiments (DOE) approaches to optimize process settings. Personal Qualifications• Passionate, purpose-driven, and excited about Karius' mission: to conquer infectious diseases through innovations around genomic sequencing and machine learning.• Excellence at communication and collaboration within a cross-functional team.• Detail oriented with exceptional organizational and time management skills.• Self-starting mentality and ability to drive results.• Comfortable working in an environment which combines both research aspects as well as development.• Ability to work effectively and efficiently in a fast-paced (startup) environment. DisclaimerThe above is intended to describe the general nature and level of work being performed by individuals assigned to this position. It is not intended to be an exhaustive list of all duties, responsibilities, and skills required. Responsibilities and duties may change or be adjusted to meet the needs of the company, and additional duties may be assigned as necessary. The job description is subject to change at any time at the discretion of Karius. Equal Opportunity EmployerAt Karius, we value a diverse and inclusive workplace and provide equal employment opportunities for all applicants and employees and are committed to honor and invest in the full diversity of people, in our hiring, recruiting and development of employees across the Company. All qualified applicants for employment are encouraged to apply and will be considered without regard to an individual's race, color, sex, gender identity and gender expression (including transgender individuals who are transitioning, have transitioned, or are perceived to be transitioning to the gender with which they identify), religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws. If you are unable to submit your application due to a disability, please contact us at *********************** and we will accommodate qualified individuals with disabilities.

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

Program Description Our Post-Graduate APP Program is specifically designed for physician assistants and nurse practitioners who are interested in a life-long career in emergency medicine with training sites in the Spokane, WA through Spokane Emergency Care Physicians (SECP), a subsidiary of WECP. Program Objectives To provide exceptional training and experience for APP professionals to have a successful career in any emergency department setting. To prepare candidates well for recognized emergency medicine APP examinations (NCCPA-CAQ for physician assistants, AANPCB Boards for nurse practitioners) Curriculum Nine (9) months program duration with over 3000 hours of post graduate training Over 1500 hours of clinical training Over 150 hours of didactics to include over an introductory bootcamp followed by monthly activities that include meetings, case presentations, procedure lab or simulation. Over 250 hours of independent study to include case review & presentation preparation, assigned CME and readings, and scholarly research project. Expected commitment of 50 hours per week of the above activities Phased Training with increasing levels of expected competency and confidence. Month 1: Pre-Boot Camp: 37 hours of on-line Emergency Medicine CME months before start of Program Boot Camp: First 2 weeks at start of Program ACLS/PALS/ATLS certification Shadow shifts with APP and physicians' EPIC and documentation training Month 2: 1 month of ED clinical shifts with supervised by APP in low acuity zones Months 3-8: 6 months of ED clinical shifts with a mix of supervision by APP and Physicians in high and low acuity zones External shadow shifts with specialists including ortho, cardiology, neurology, neurosurgery, hospitalists, anesthesia Month 9: 1 month of ED clinical shifts with supervised APP in low acuity zones Option to internally moonlight in months 8 and 9 with approval Continuing Medical Education Required 150+ CME hours (provided and paid for by Program) Original EM Boot Camp on-line course, to be completed before start of program EMRAP subscription for duration of program UpToDate subscription ATLS, PALS Faculty Advisor & Mentor will be assigned to each post graduate candidate Regularly scheduled monthly meetings with Faculty Advisor Advisor to monitor progress and identify strengths/areas of improvement Advisor with candidate will develop individualized plan to ensure continued growth and development One (1) class per year Winter - Starting in December - 2 candidates Training Locations All sites are part of MultiCare Health Systems Located in the beautiful Inland Northwest in Spokane, WA: MultiCare Deaconess Hospital (Level 3 Trauma, primary cardiac & stroke), Valley hospital and North Deaconess Off Campus Emergency Department Admission requirements Must have graduated from an accredited PA/NP school Must be certified/licensed in Washington State after 4 weeks of starting program Must be able to evaluate and treat both pediatric and adult patients Must be willing to relocate to the Spokane for duration of program. Must be ACLS and PALS certified for duration of program Must be hard working and self-motivated Compensation & Benefits Compensation: hourly rate of $29.50 Reimbursement for licensing, certification, credentialing fees Benefits: Medical, dental, and vision insurance with no cost options Employer paid short-term disability and life insurance PTO Eligible for retirement benefits if permanently hired after completion of program How to Apply Submit you most current Curriculum Vitae. Please ensure that your employment history is listed in mm/yyyy format. Submit personal statement explaining why you are applying to the program along with your long-term professional goals. Submit three (3) letters of recommendation. At least one letter must be from school director or faculty. Submit your PA/NP school transcripts.

Site: The General Hospital Corporation Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham. The research group's projects focus on the human vaginal microbiome and metabolome. The role involves performing or supporting analyses of amplicon and shotgun metagenomic data and of bacterial genomic data (including genome assemblies, annotation, and taxonomic, phylogenetic, and functional analyses), as well as analyses of targeted and untargeted metabolomics data. Projects will enhance basic knowledge of health and disease and support development of new therapies including live biotherapeutic products (LBPs) and metabolite-based therapies. Job Summary Responsible for combining research in biology, medicine, and health-related studies with information technology in order to collect and interpret data covering a range of fields, such as genetics or pharmaceutics. This role creates mathematical models, develop dynamic simulations, and perform pattern analyses of biological systems. Does this position require Patient Care? No Essential Functions -Independently design and execute bioinformatics analyses and research projects on small-mid scale projects. -Develop and optimize data analysis pipelines and workflows. -Collaborate with scientists and researchers to define analysis goals and interpret results. -Provide technical expertise and support for bioinformatics tools and software. -Train junior scientists and provide technical guidance. -Analyze data quality and integrity of data output from existing algorithms as part of the complex, multi-step specimen tracking and reporting process, across multiple systems and web-based interfaces. -Develop new and innovative tools to enhance quality assurance review and to improve assay and system performance. -Design and apply novel computational methods/bioinformatics algorithm, machine learning models for building data models and tools using various software and statistical tools to aid in the analysis and interpretation of genetic data, clinical data, images (NGS Algorithm development, Machine Learning). Qualifications Education Master's Degree Computational Biology preferred or Bachelor's Degree Computational Biology required Can this role accept experience in lieu of a degree? Yes Licenses and Credentials Experience Computational Sciences Experience 3-5 years required Knowledge, Skills and Abilities - Demonstrated experience in infrastructure, programming languages and computational sciences. - Demonstrated ability working with open-source bioinformatics software. - Possess strong analytical skills including critical thinking, data modeling, problem solving and troubleshooting. - Strong organizational and interpersonal skills. - Ability to effectively communicate, both orally and in writing, to all levels of staff. - Excellent time management skills. Additional Job Details (if applicable) Remote Type Onsite Work Location 600 Main Street Scheduled Weekly Hours 40 Employee Type Regular Work Shift Day (United States of America) Pay Range $92,102.40 - $134,056.00/Annual Grade 7 At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach to determining base pay is comprehensive, and any offer extended will take into account your skills, relevant experience if applicable, education, certifications and other essential factors. The base pay information provided offers an estimate based on the minimum job qualifications; however, it does not encompass all elements contributing to your total compensation package. In addition to competitive base pay, we offer comprehensive benefits, career advancement opportunities, differentials, premiums and bonuses as applicable and recognition programs designed to celebrate your contributions and support your professional growth. We invite you to apply, and our Talent Acquisition team will provide an overview of your potential compensation and benefits package. EEO Statement: 1200 The General Hospital Corporation is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran's Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at **************. Mass General Brigham Competency Framework At Mass General Brigham, our competency framework defines what effective leadership “looks like” by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.

The Associate Computational Biologist is training to become a Computational Biologist. They are responsible for routine data analysis or processing of biological data, with a focus on high-throughput technologies and genomic databases, under the supervision of mentor.The Computational Biologist is a quantitative scientist who collaborates with scientific investigators and with other research staff in the analysis of high-throughput data, and dissemination of scientific results. The Computational Biologist may work on many types of projects and areas of research including cancer genomics, functional genomics, immuno-oncology, molecular imaging, data management and integration, and querying biological databases. Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS, and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. + Data Processing Builds data processing pipelines to convert raw data into formats compatible with conventional statistical analysis and visualization under supervision of mentor + Data Analysis: Follows a detailed manual to perform routine + Data and Software Management: Monitors, downloads, organizes, and manages data from public data repositories or generated by collaborates + Manuscript Preparation: Helps prepare tables and figures + Research Portfolio Management: Trains to develops timelines and components for multiple routine projects; masters multi-tasking so that complex projects involving many interdisciplinary individuals move forward smoothly **KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:** + Knowledge of UNIX/Linux. Familiarity with scripting in Python and statistical programming using R + Familiarity with principles of experimental design and the modern data analysis paradigms is required + Able to discuss and present results, share ideas accurately and communicate them effectively, both in writing and verbally with supervisory oversight + Strong interpersonal skills - ability to effectively interact with all levels of staff and external contacts + Excellent analytical, organizational and time management skills **MINIMUM JOB QUALIFICATIONS:** The position requires a bachelor's degree in a STEM field, with no prior experience necessary. **SUPERVISORY RESPONSIBILITIES:** None **PATIENT CONTACT:** None At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff who offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and compassionate professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. **EEO Poster** . Pay Transparency Statement The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate's relevant experience, skills and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA). $60,000.00 - $67,466.00

The laboratory of Zuzana Tothova, MD, PhD is a multi-disciplinary team of physician scientists, scientists and computational biologists at the Dana-Farber Cancer Institute and the Broad Institute. Our laboratory uses genomics and a range of molecular and cellular biological techniques to elucidate the molecular basis of cancer and hematologic disorders and to develop novel therapeutics. Our specific focus is to understand the role of chromatin modifiers and epigenetic factors and find novel therapeutic opportunities in myeloid malignancies, including myelodysplastic syndromes and acute myeloid leukemia. JOB TITLE: Associate computational biologist FLSA: Full-time, on-site REPORTS TO: Zuzana Tothova, M.D., Ph.D. DEPT: Medicine Oncology/ Heme Neoplasia General Summary A full-time associate computational biologist position is available in the laboratory of Zuzana Tothova, M.D., Ph.D. at Dana-Farber Cancer Institute. We are seeking enthusiastic, self-motivated individuals who thrive in a fast-paced, challenging research environment, and can interact well with others as part of a cohesive team. If you have a desire to make a significant impact in healthcare and have the fortitude to work hard, you will succeed within this team. This is an ideal entry-level or mid-level position into the world of cutting-edge laboratory research. A growth mindset and a willingness to take on challenging learning opportunities will be sought out traits. Ideal candidates will possess strong interpersonal skills along with a desire to help others to succeed. Previous team members have gone on to successful academic and career opportunities; graduate/medical school and industry. The candidate will be involved in a series of research activities, including computational analysis of large-scale data sets generated in in vitro and in vivo human disease relevant models and use of next generation sequencing with a special emphasis on understanding the biology of human myeloid malignancies. The Associate Computational Biologist is training to become a Computational Biologist. They are responsible for routine data analysis or processing of biological data, with a focus on high-throughput technologies and genomic databases, under the supervision of mentor. The Computational Biologist is a quantitative scientist who collaborates with scientific investigators and with other research staff in the analysis of high-throughput data, and dissemination of scientific results. The Computational Biologist may work on many types of projects and areas of research including cancer genomics, functional genomics, immuno-oncology, molecular imaging, data management and integration, and querying biological databases. We are looking for candidates with at least 2 years of availability. Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS, and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. + Data Processing Builds data processing pipelines to convert raw data into formats compatible with conventional statistical analysis and visualization under supervision of mentor + Data Analysis: Follows a detailed manual to perform routine + Data and Software Management: Monitors, downloads, organizes, and manages data from public data repositories or generated by collaborates + Manuscript Preparation: Helps prepare tables and figures + Research Portfolio Management: Trains to develops timelines and components for multiple routine projects; masters multi-tasking so that complex projects involving many interdisciplinary individuals move forward smoothly **KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:** + Knowledge of UNIX/Linux. Familiarity with scripting in Python and statistical programming using R + Familiarity with principles of experimental design and the modern data analysis paradigms is required + Able to discuss and present results, share ideas accurately and communicate them effectively, both in writing and verbally with supervisory oversight + Strong interpersonal skills - ability to effectively interact with all levels of staff and external contacts + Excellent analytical, organizational and time management skills **MINIMUM JOB QUALIFICATIONS:** The position requires a bachelor's degree in a STEM field, with no prior experience necessary. **SUPERVISORY RESPONSIBILITIES:** None **PATIENT CONTACT:** None At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff who offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and compassionate professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. **EEO Poster** . Pay Transparency Statement The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate's relevant experience, skills and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA). $60,000.00 - $67,466.00

A computationally-oriented team led by Rameen Beroukhim and Simona Dalin at the Dana-Farber Cancer Institute and Broad Institute seeks an associate computational biologist to join in efforts to develop and apply cutting-edge genomic algorithms and analyses to characterize genomic rearrangements in cancers and normal tissues, and better understand how errors in double strand break (DSB) repair result in these rearrangements. This individual will contribute to a lively team and wider community of laboratory scientists, computational biologists, cancer geneticists, and software engineers dedicated to discovering and understanding the alterations in the cancer genome and discovering cancer vulnerabilities that could lead to new therapeutics. We are looking for a person who wants to lead their projects, think independently and make original intellectual contributions. We welcome all levels of input from our ACBs, including input on the conduct of analyses but also on new analyses to conduct and new questions to ask. ACBs in our laboratory regularly present their own work and contribute to the writing of papers and grant applications. We view an ACB as a mentored training position, with a primary goal being their professional development. Our prior ACBs have successfully pursued a variety of subsequent career directions including obtaining MDs, PhDs, and MD-PhDs on the paths to careers in both academia and industry. The ideal candidate will have extensive programming ability and a strong background in mathematics and statistics with a deep interest and background in biology. The candidate is required to have a B.S./B.A. or equivalent, ideally in the life sciences, physical sciences, or computational sciences; prior research in one of these areas (for example, a summer research program or several hours a week in a lab as an undergraduate); a strong background in programming, preferably in R and BASH; knowledge of statistical methods either through coursework or research; and excellent written & verbal communication skills. They must be a self-starter with excellent problem-solving, organizational and people skills and be able to collaborate closely with other members of a research team. We prefer the candidate to have exposure to an analytic field such as bioinformatics, computational biology, machine learning, or statistics and experience working in cloud computing and UNIX environments. A minimum 2 year commitment is required. Ideally we are looking for someone to join our lab before March 2026 but we are also considering applicants who will complete their current degree program in Spring 2026. Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS, and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. + Data Processing Builds data processing pipelines to convert raw data into formats compatible with conventional statistical analysis and visualization under supervision of mentor + Data Analysis: Follows a detailed manual to perform routine + Data and Software Management: Monitors, downloads, organizes, and manages data from public data repositories or generated by collaborates + Manuscript Preparation: Helps prepare tables and figures + Research Portfolio Management: Trains to develops timelines and components for multiple routine projects; masters multi-tasking so that complex projects involving many interdisciplinary individuals move forward smoothly **KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:** + Knowledge of UNIX/Linux. Familiarity with scripting in Python and statistical programming using R + Familiarity with principles of experimental design and the modern data analysis paradigms is required + Able to discuss and present results, share ideas accurately and communicate them effectively, both in writing and verbally with supervisory oversight + Strong interpersonal skills - ability to effectively interact with all levels of staff and external contacts + Excellent analytical, organizational and time management skills **MINIMUM JOB QUALIFICATIONS:** The position requires a bachelor's degree in a STEM field, with no prior experience necessary. **SUPERVISORY RESPONSIBILITIES:** None **PATIENT CONTACT:** None At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff who offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and compassionate professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. **EEO Poster** . Pay Transparency Statement The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate's relevant experience, skills and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA). $60,000.00 - $67,466.00

Job Description Our mission at Asimov is to advance humanity's ability to design living systems, enabling biotechnologies with outsized benefit to society. We're developing a mammalian synthetic biology platform-from cells to software-to enable the design and manufacture of next-generation therapeutics. We are searching for a Senior Computational Biologist with multi-disciplinary skills in computational biology, machine learning, and applied mathematics to join our team. This role bridges the gap between sequence-level design and systems-level dynamics, focusing on the development and application of sophisticated models that integrate diverse biological data. The ideal candidate will be adept at building data-driven, mechanistic, and hybrid models to decipher complex biological processes and guide the engineering of therapeutic molecules and systems. You will leverage everything from high-dimensional omics datasets to time-course bioprocess data to create predictive models that drive genetic design and optimize bioprocess development. Join our team to contribute at the cutting-edge of innovation in biology and computational science, shaping the future of therapeutic innovation. About the Role: Design and implement sophisticated models-including data-driven (ML/AI), mechanistic (e.g., ODE-based), and hybrid approaches-to predict and optimize the performance of biologics and vector manufacturing processes. Develop models that predict functional outcomes such as transgene expressibility, protein stability, and product quality attributes from nucleic acid and amino acid sequence features Develop new models to predict developability attributes such as expressibility, secretability, aggregation, and stability of biologics, from sequence. Create multi-scale models of cellular behavior, integrating omics data (RNA-seq, proteomics, etc.) to simulate gene expression, protein secretion dynamics, metabolism, and cell phenotype. Work in close collaboration with bench scientists to guide rational experimental design, using techniques like Bayesian Optimization to ensure that data generation is maximally informative for modeling and yields actionable insights. Contribute to our long-term computational strategy by exploring novel algorithms, modeling frameworks, and data integration techniques to solve critical challenges in synthetic biology and therapeutic development. About You: You have a Ph.D. in Bioengineering, Computational Biology, Computer Science, Applied Mathematics, or a related quantitative field. You are proficient in sequence-based analysis and have hands-on experience integrating large-scale omics datasets (e.g., NGS, RNA-seq, proteomics) to inform model development and validation. You are an expert in applying machine learning and advanced mathematical techniques (e.g., dynamical systems, differential equations, stochastic modeling) to biological systems, with at least 3 years of experience in a pharmaceutical or biotechnology industry setting. You have a strong background in modeling dynamic biological systems, such as gene regulatory networks, metabolic pathways, or cell population dynamics. You are a skilled programmer, fluent in Python and associated scientific computing/ML libraries. You excel at communicating complex scientific and mathematical concepts effectively to colleagues with diverse backgrounds and expertise. You are a collaborative, impact-driven scientist, passionate about working in a fast-paced, research-focused environment to engineer biology. We're fueled by a vision to transform biological engineering into a fully-fledged engineering discipline. Should you join our team, you will grow with a constantly evolving organization and push the frontiers of synthetic biology. Company culture is key to Asimov, and ours is a culture of recombination; we believe that our mission can only be achieved by bringing together a diverse team with a mixture of backgrounds and perspectives. Compensation Range: $150K - $175K

Our mission at Asimov is to advance humanity's ability to design living systems, enabling biotechnologies with outsized benefit to society. We're developing a mammalian synthetic biology platform-from cells to software-to enable the design and manufacture of next-generation therapeutics. We are searching for a Senior Computational Biologist with multi-disciplinary skills in computational biology, machine learning, and applied mathematics to join our team. This role bridges the gap between sequence-level design and systems-level dynamics, focusing on the development and application of sophisticated models that integrate diverse biological data. The ideal candidate will be adept at building data-driven, mechanistic, and hybrid models to decipher complex biological processes and guide the engineering of therapeutic molecules and systems. You will leverage everything from high-dimensional omics datasets to time-course bioprocess data to create predictive models that drive genetic design and optimize bioprocess development. Join our team to contribute at the cutting-edge of innovation in biology and computational science, shaping the future of therapeutic innovation. About the Role: Design and implement sophisticated models-including data-driven (ML/AI), mechanistic (e.g., ODE-based), and hybrid approaches-to predict and optimize the performance of biologics and vector manufacturing processes. Develop models that predict functional outcomes such as transgene expressibility, protein stability, and product quality attributes from nucleic acid and amino acid sequence features Develop new models to predict developability attributes such as expressibility, secretability, aggregation, and stability of biologics, from sequence. Create multi-scale models of cellular behavior, integrating omics data (RNA-seq, proteomics, etc.) to simulate gene expression, protein secretion dynamics, metabolism, and cell phenotype. Work in close collaboration with bench scientists to guide rational experimental design, using techniques like Bayesian Optimization to ensure that data generation is maximally informative for modeling and yields actionable insights. Contribute to our long-term computational strategy by exploring novel algorithms, modeling frameworks, and data integration techniques to solve critical challenges in synthetic biology and therapeutic development. About You: You have a Ph.D. in Bioengineering, Computational Biology, Computer Science, Applied Mathematics, or a related quantitative field. You are proficient in sequence-based analysis and have hands-on experience integrating large-scale omics datasets (e.g., NGS, RNA-seq, proteomics) to inform model development and validation. You are an expert in applying machine learning and advanced mathematical techniques (e.g., dynamical systems, differential equations, stochastic modeling) to biological systems, with at least 3 years of experience in a pharmaceutical or biotechnology industry setting. You have a strong background in modeling dynamic biological systems, such as gene regulatory networks, metabolic pathways, or cell population dynamics. You are a skilled programmer, fluent in Python and associated scientific computing/ML libraries. You excel at communicating complex scientific and mathematical concepts effectively to colleagues with diverse backgrounds and expertise. You are a collaborative, impact-driven scientist, passionate about working in a fast-paced, research-focused environment to engineer biology. We're fueled by a vision to transform biological engineering into a fully-fledged engineering discipline. Should you join our team, you will grow with a constantly evolving organization and push the frontiers of synthetic biology. Company culture is key to Asimov, and ours is a culture of recombination; we believe that our mission can only be achieved by bringing together a diverse team with a mixture of backgrounds and perspectives.

Highly motivated individuals with a PhD or MD/PhD in relevant area are encouraged to apply. This training position, under the direct supervision of a Cleveland Clinic Principal Investigator will provide practical training and experience in a research setting. This position is appointed through Cleveland Clinic Research. The successful applicant will be able to demonstrate a commitment to research, a collaborative work ethic and strong communication skills, both written and verbal. This program is expected to be completed within 5 years. Compensation follows the NIH NRSA Postdoctoral Salary Scale based on total years of postdoctoral experience. Immune checkpoint blockade has transformed cancer immunotherapy. The Wang laboratory was among the first to identify VISTA (V-domain Immunoglobulin Suppressor of T Cell Activation) as a promising immune checkpoint target for cancer therapy (1-4). Current multidisciplinary projects focus on the epigenetic and metabolic regulation of tumor-reactive T cells, CAR T cells, tumor-associated macrophages, and myeloid-derived suppressor cells (MDSCs). These studies integrate basic and clinical research, providing a strong training environment in translational cancer immunology. We seek candidates with a recent PhD and with research experience in Biochemistry, Cell Biology, and Immunology to join our team. Interested applicants should submit a CV, a cover letter describing research interests, and contact information for three references to Dr. Li Lily Wang, ************** . References: 1. Le Mercier I, Chen W, Lines JL, Day M, Li J, Sergent P, Noelle RJ, Wang L (2014) VISTA regulates the development of protective anti-tumor immunity. Cancer Research, 74:1933-1944. PMC4116689 2. Xu W, Tạ MH, Malarkannan S, Wang L (2018) Review: The structure, expression, and function of immune-checkpoint protein VISTA as a critical regulator of anti-tumor immunity, autoimmunity, and inflammation. Cellular & Molecular Immunology. 2018 May 15(5):438-446 PMC6068175 3. Zhang K, Zakeri A, Alban T, Dong J, Ta HM, Zalavadia AH, Branicky A, Zhao H, Juric I, Husich H, Parthasarathy PB, Rupani A, Drazba JA, Chakraborty AA, Ching-Cheng Huang S, Chan T, Avril S, Wang LL. VISTA promotes the metabolism and differentiation of myeloid-derived suppressor cells by STAT3 and polyamine-dependent mechanisms. Cell Reports 2024 Jan 3;43(1):113661. doi: 10.1016/j.celrep.2023.113661. PMID: 38175754. 4. Hieu Minh Ta, Dia Roy, Keman Zhang, Tyler Alban, Ivan Juric, Juan Dong, Sachin Patnaik, Cassandra Gilmour, Amin Zakeri, Prerana B Parthasarathy, Amit Rupani, Yee Peng Phoon, Brian Gastman, Timothy Chan, Li Lily Wang. LRIG1 engages ligand VISTA and impairs tumor-specific CD8+ T cell responses. Science Immunology, 2024 May 17;9(95) PMID: 38758807 DOI: 10.1126/sciimmunol.adi7418 **Principal Investigator:** Lily Wang, PhD **Cleveland Clinic Research Department:** Cancer Sciences (THOR) **Lab Research Topics:** + Next-generation Immune checkpoint protein + tumor immunology + Tumor-associated macrophages + T cell biology + For more information about the lab's research, please visit: ****************************************************************** or contact Dr. Wang at ************** **Job Responsibilities:** + Independent project design with the goal of data generation, analysis, interpretation and manuscript preparation + Develop research projects + Design and execute experiments + Write manuscripts + Present research findings **Education:** + PhD or MD/PhD required + MD with relevant laboratory experience may substitute for PhD **Languages:** + English Proficiency proof required for candidates arriving on J-1, J-2, or F1 + OPT visa status **Work Experience:** + Previous experience in a research or academic setting. Graduate student experience meets this requirement. + Scientific writing experience **Physical Requirements:** + Ability to perform work in a stationary position for extended periods + Ability to operate a computer and other office equipment + Ability to communicate and exchange accurate information + Ability to distinguish color + Manual dexterity to handle specimens and repair equipment + Ability to lift and transport equipment or specimens weighing up to 20 pounds + May be exposed to hazardous chemicals, bio-hazards, radioactive materials, etc. **Personal Protective Equipment:** + PPE per institutional requirements; may vary by laboratory **Preferred Application Materials:** All application materials should be submitted directly via email to Dr. Wang at ************** + CV or NIH biosketch + First authored publications within the past 5 years. **Keywords:** Postdoc, Research, Immunology research **Pay Range** Minimum Annual Salary: $31,200.00 Maximum Annual Salary: $312,000.00 The pay range displayed on this job posting reflects the anticipated range for new hires. A successful candidate's actual compensation will be determined after taking factors into consideration such as the candidate's work history, experience, skill set and education. The pay range displayed does not include any applicable pay practices (e.g., shift differentials, overtime, etc.). The pay range does not include the value of Cleveland Clinic's benefits package (e.g., healthcare, dental and vision benefits, retirement savings account contributions, etc.). Cleveland Clinic Health System is pleased to be an equal employment employer: Women / Minorities / Veterans / Individuals with Disabilities

- Business Title: Molecular Biologist II Analyst II Division: Consumer Products Services Entity: ATL Reports to: Manager FLSA: Non-Exempt Hours Worked: Typically, Monday through Friday, forty-hours per week. However, must be flexible to meet the needs of the department and complete other projects as assigned. Position Summary: The Molecular Biologist II is responsible for efficient delivery of data from molecular, cellular, and molecular pharmacological biochemical assays. They are highly organized, able to execute and develop protocols for various laboratory techniques and adhere to good research practice (GRP) requirements. They are an detail-oriented laboratory scientist, conducting biochemical assays among other laboratory responsibilities independently or with little guidance from client scientists and can deliver and interpret data in a timely manner. They exhibit quality and compliance in their daily work. They are champions of and promote the organization's Values and Absolutes. The Molecular Biologist will complete their regular assigned daily work while meeting the expectations outlined below. Duties and Responsibilities: It is everyone's responsibility to live out our Values and Absolutes by Shaping a World of Trust while ensuring responsible progress. • Grow, treat, and transfect mammalian cells to isolate RNA, protein for use in biochemical assays. • Perform standard molecular/cellular techniques, such as BCA, Western blotting, ELISAs. • Perform in-vivo rodent tissue collections and subsequent processing of tissues for use in biochemical assays. • Monitor inventory of laboratory supplies and reagents and maintain clean, well-functioning laboratory environment. • Identify, troubleshoot and provide suggested technical solutions to clients and management. • Prepare written technical reports. • Perform basic data analysis as assigned. • Assist with training. • Comply with clients and Bureau Veritas Consumer Products Services, Inc management systems in accordance with appropriate regulatory agencies. • Follows the guidelines set forth by clients and the Bureau Veritas Consumer Products Services, Inc Quality Manual and Safety / Chemical Hygiene Plan. • Adhere to the requirements of the BV-CPS Quality System. • Other duties as defined by Manager, department needs and workload. Skills & Proficiencies: • Demonstrated ability to perform complex biochemical assays and deliver data in a timely and consistent manner • Extensive experience in molecular and biochemistry techniques • Ability to think critically about data and troubleshoot assays as needed • Written and verbal communication skills including the ability to communicate effectively in a group setting, with colleagues and clients • Organizational and time management skills • Ability to perform multiple tasks • Ability to organize and prioritize workload to meet or exceed deadlines • Individual and Team work ethic • Proficiency with Windows, Word & Excel • Attention to detail • Positive attitude, self-motivated, high level of engagement • Champions company values including team engagement • Ability to present both facts and recommendations effectively • Technical problem solving and process improvement skills Education and Experience: • Master's or Bachelor's in Biology, Molecular Biology, Neuroscience, or closely related field. • Minimum of one (1) year of experience with biochemical techniques including but not limited to qPCR, FLIPR kinase assays, and mammalian cell culture. • Minimum of one (1) year of experience with data analysis. • Experience with or willingness to learn/perform in-vivo rodent tissue collection. An equivalent combination of education and experience may be accepted in lieu of above. Compensation Range: $27.00 - $29.00 per hour (e.g., the job posting is not necessarily reflective of actual compensation that may be earned, and actual compensation is subject to variation due to such factors as locations, education, experience, and skillset).