Position Summary

We invite talented post-doctoral candidates with an interest in cancer genomics, multi-omic data analysis, algorithm design, and/or deep learning to apply for a position in Jin Zhang, PhD, MPHS’s translational genomics lab (https://sites.wustl.edu/jinzhang) at Washington University School of Medicine, St. Louis, MO. This postdoc will also be co-advised by Michael Waters, MD, PhD (https://www.linkedin.com/in/mike-waters-92a20247/), who will be an Assistant Professor at WashU starting July 2024.

Since joining the WUSTL faculty in 2017, Dr. Zhang has built a lab with an ambitious interest in developing tools and applying cutting-edge bioinformatic and deep learning/AI techniques to advance our understanding of cancer biology and treatment. Our agile, growing research group has been funded by multiple grant awards from the National Cancer Institute, including 2 NCI R01s received last year. We are also extremely proud to be part of the Translational Radiation Oncology Center (TARGET) supported by an NCI U54 Specialized Center grant (https://sites.wustl.edu/translationalradiation/). The Zhang lab currently has 10 members and is looking to expand to 14 in the next year.

The candidate will enjoy significant autonomy while playing a critical role in finding new discoveries and developing advanced genomic and/or deep learning/AI approaches in cancer biology as applied in personalized radiation therapy (RT). The candidate will also lead projects on multi-omics data integration and clinical imaging data integration. We are aware that most of the candidates won’t be immediately an expert on all the above domains in our groundbreaking multi-disciplinary research. The candidate will enjoy significant mentorship from Drs. Zhang and Waters and experienced lab members to develop their domain knowledge and ability to lead research teams, including guidance in career development and transition to an independent investigator. The position also offers an excellent opportunity to conduct research in a supportive and stimulating environment, closely collaborating with computer scientists, biologists, and clinicians within Department of Radiation Oncology and other institutes across the campus, including the McDonnell Genome Institute, Institute for Informatics, and Siteman Cancer Center.

Information on being a postdoc at Washington University in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/.

Department Summary

The Cancer Biology Division within the Department of Radiation Oncology consists of a core group of clinical, physics, and computational science investigators who use both archived and prospectively collected tumor samples to ask fundamental questions about radiotherapy efficacy and cancer biology. The Zhang lab and the Bioinformatics/AI Program work closely with clinicians to identify biomarkers that can be used to stratify patients and to identify patients for targeted therapies.

Primary Duties and Responsibilities

Trains under the supervision of a faculty mentor including (but not limited to):

• Develop hypotheses and design novel genomics and/or data science/AI approaches in translational cancer genomics and data integration.
• Build novel pipelines through developing advanced algorithms and integrating cutting-edge bioinformatics tools using sequencing and other omics data and/or image data.
• Prepare and present results of research in internal seminars and external conferences and journals.
• Assist with grant preparation and reporting.
• Train research assistants in the lab and work with other researchers in applying the informatics tools we develop.

Required Qualifications

Applicants must have received, or will receive, a Ph.D. by May 31st, 2024, in bioinformatics, genomics, computational biology, computer science, ML/DL/AI, or a related field.

Preferred Qualifications

• Experience with bioinformatic algorithm development and/or bioinformatic data analysis.
• Proficiency in a programming language, such as Python, C++, and/or Perl.
• Proficiency in a statistical programming language, such as R and SAS.
• Experience with scientific computing and data visualization tools.
• Highly motivated with excellent oral and written communication skills.
• Understanding of current next-generation sequencing technologies.
• Understanding of statistical techniques for differential expression, gene set enrichment analysis, clustering, outcome analysis, and multivariant analysis.
• Experience with Git, Docker, Common Workflow Language, and Cloud computing.
• Deep understanding of concepts and techniques in machine learning/deep learning with Scikit-Learn, Keras, and/or TensorFlow and PyTorch, and/or other cutting-edge AI technologies, including large language model, etc.

Working Conditions

This position works in a laboratory environment with potential exposure to biological and chemical hazards. The individual must be physically able to wear protective equipment and to provide standard care to research animals.

Salary Range

Base pay is commensurate with experience.

Applicant Special Instructions

Please send a CV and optionally a cover letter stating research interest to Dr. Jin Zhang: jin.zhang@wustl.edu.

Questions

For frequently asked questions about the application process, please refer to our External Applicant FAQ.

Accommodation

If you are unable to use our online application system and would like an accommodation, please email CandidateQuestions@wustl.edu or call the dedicated accommodation inquiry number at 314-935-1149 and leave a voicemail with the nature of your request.

Position Summary

The Sadtler lab in the Department of Chemistry at Washington University in St. Louis is seeking to hire a Postdoctoral Research Associate to lead a project on electrolysis in seawater, starting April 2024. This project is a 6-month assignment.

In this position, you will contribute to developing and understanding new electrode materials of interest for stable electrolysis in seawater. This project will include the synthesis and structural characterization of novel electrode materials, characterization of their activity and stability for electrolysis in seawater, and analysis of corrosion mechanisms. The project will take advantage of state-of-the-art instrumentation at the Institute of Materials Science and Engineering (electron microscopy, X-ray photoelectron spectroscopy, and X-ray diffraction), Chemical and Environmental Analysis Facility (mass spectrometry and porosity analysis), and the Department of Chemistry (absorption and infrared spectroscopy).

In addition to excellent research skills, we are seeking an applicant who prioritizes providing proactive mentorship to students, honing communication skills, and working in an interdisciplinary environment. Lab members will have the opportunity to collaborate with researchers in the Departments of Chemistry and Mechanical Engineering and Materials Science at Washington University.

We prioritize career and professional development for postdoctoral researchers. In addition to one-on-one mentorship, further resources and support are available through the Center for Career Engagement, Office of Postdoctoral Affairs, and Center for Teaching and Learning.

Information on being a postdoc at Washington University in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/.

Primary Duties and Responsibilities

Trains under the supervision of a faculty mentor including (but not limited to):

• Develop synthesis and fabrication protocols for electrode materials.
• Perform electrochemical analysis to quantify the activity and stability of electrodes for electrolysis in seawater
• Characterize structural and physical properties of the electrode materials and develop structure/property relationships based on the observed electrochemical activity.
• Contribute to the mentorship of graduate students in the lab, modeling ethical and safe research practices.
• Write monthly reports of research progress.

Required Qualifications

• Ph.D. in Chemistry, Chemical Engineering, Materials Science & Engineering, or a related field.

Preferred Qualifications

• Proficiency with analytical electrochemistry including cyclic voltammetry, chronoamperometry, constant-current electrolysis, electrochemical impedance spectroscopy, and Tafel analysis.
• Proficiency with the design of electrochemical cells for water electrolysis.
• Proficiency with structural characterization, such as electron microscopy, X-ray diffraction, and X-ray photoelectron spectroscopy.
• Strong record of peer-reviewed journal publications.

Salary Range

• Base pay is commensurate with experience.

Applicant Special Instructions

Applicants should send their CV, a brief statement of prior research experience and research interests (1 to 2 pages), and contact information for two references to sadtler@wustl.edu.

Questions

For frequently asked questions about the application process, please refer to our External Applicant FAQ.

Accommodation

If you are unable to use our online application system and would like an accommodation, please email CandidateQuestions@wustl.edu or call the dedicated accommodation inquiry number at 314-935-1149 and leave a voicemail with the nature of your request.

Pre-Employment Screening

All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. The screenings will include criminal background check and, as applicable for the position, other background checks, drug screen, an employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening.

Benefits Statement

Washington University in St. Louis is committed to providing a comprehensive and competitive benefits package to our employees. Benefits eligibility is subject to employment status, full-time equivalent (FTE) workload, and weekly standard hours. Please visit our website at https://hr.wustl.edu/benefits/ to view a summary of benefits.

EEO/AA Statement

Washington University in St. Louis is committed to the principles and practices of equal employment opportunity and especially encourages applications by those from underrepresented groups. It is the University’s policy to provide equal opportunity and access to persons in all job titles without regard to race, ethnicity, color, national origin, age, religion, sex, sexual orientation, gender identity or expression, disability, protected veteran status, or genetic information.

Diversity Statement

Washington University is dedicated to building a diverse community of individuals who are committed to contributing to an inclusive environment – fostering respect for all and welcoming individuals from diverse backgrounds, experiences and perspectives. Individuals with a commitment to these values are encouraged to apply.

The Carnegie Mellon Biomedical Engineering department seeks to transform healthcare worldwide through interdisciplinary engineering innovation and to train future leaders and innovators in biomedical engineering.

Carnegie Mellon University’s department of Biomedical Engineering is searching for a Postdoctoral Research Associate to join their team.  This is an exciting opportunity for someone who thrives in an interesting and challenging work environment. You will contribute to the department by conducting research investigating how internal states impact neural representations, and other such tasks as assigned to you.

Your core responsibilities will include:

• Collecting and analyzing data, including periodical/literature search and utilizing specialized skills in related field to analyze the collected data.
• Conducting research experiments within the predetermined research scope and methodology of department and university.
• Participating and assisting in manuscript writing for publication in scientific journals and/or presentations.
• Lab maintenance, including equipment maintenance and ordering of supplies may be required depending on area and specialty.
• Other duties as assigned.

Flexibility, excellence, and passion are vital qualities within Carnegie Mellon University. Inclusion, collaboration and cultural sensitivity are valued competencies at CMU. Therefore, we are in search of a team member who can effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work.

You should demonstrate:

• Strong analytical skills
• Excellent communication skills

Qualifications:

• Doctorate degree in biomedical engineering or related field required

Joining the CMU team opens the door to an array of exceptional benefits, available to all full-time Carnegie Mellon University employees. Experience the full spectrum of advantages, from comprehensive medical, prescription, dental, and vision insurance to enticing retirement savings programs. Unlock your potential with tuition benefits, and take well-deserved breaks with generous paid time off and holidays. Rest easy knowing you are covered by life and accidental death and disability insurance. For a comprehensive overview of the benefits awaiting you, explore:

https://www.cmu.edu/jobs/benefits-at-a-glance.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond just credentials, we consider the role & responsibilities, your invaluable work experience, and the knowledge gained through education and training. We acknowledge and appreciate your unique key skills and the diverse perspectives you bring. Our commitment to fostering an inclusive work environment means we also account for geographic differentials. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in this exciting opportunity?! Apply today!

Location

Pittsburgh, PA

Job Function

Pre/Post-Doctoral Associates & Fellows

Position Type

Postdoctoral Associate / Fellow (Fixed Term)

Full Time/Part time

Full time

Pay Basis

Salary

More Information: