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    Join Our Team at Dr. Gu's Lab, Versiti Blood Research Institute, Milwaukee, WI.

    Are you a driven and passionate individual with expertise in machine learning, bioinformatics, biostatistics, genomics, genetics, computational biology, or cancer biology? If so, we invite you to become part of our dynamic team at Dr. Gu's lab at the Versiti Blood Research Institute in Milwaukee, WI. We are seeking a highly motivated Postdoctoral Fellow to contribute to groundbreaking research in the field of multi-omics data analysis, cancer biology, and biomarker discovery.

    Position Overview:

    As a Postdoctoral Fellow, you will have the unique opportunity to develop and implement cutting-edge machine learning algorithms and statistical models. These tools will be applied to unravel the complexities of multi-omics data, shedding light on the mechanisms underlying cancer biology (leukemia, lung, and kidney cancer) and facilitating the identification of early diagnostic and treatment biomarkers. Additionally, if you have an interest in experimental work, you will have the chance to gain valuable hands-on experience and training.


    • Master's Degree required
    • PhD required
    • Equivalent degree required
    • 0-6 years of postdoctoral training required
    • Proficiency in Python or R, ideally both
    • Knowledge of biology, genomics, genetics, and Next Generation Sequencing data is a valuable asset.


    • Contribute to cutting-edge research in a collaborative and innovative environment.
    • Access state-of-the-art resources and mentorship to support your career development.
    • Work in a vibrant city with a rich cultural scene and a welcoming community.


    If you are passionate about harnessing the power of data to advance our understanding of cancer biology and want to be part of a team dedicated to making a difference, we encourage you to apply.

    To apply for this position, please submit your CV, a cover letter detailing your research interests and relevant experience and contact information for at least three references to tgu[at]


    GDIT is seeking an experienced Scientific Program Manager to lead our Scientific IT program, supporting a large biomedical research community for our customer with the National Institute of Allergy and Infectious Diseases (NIAID).

    Our Scientific IT program is responsible for enabling High Performance Computing and its associated infrastructure across multiple locations, scientific applications and instrumentation, and ~40PB of data storage to include data archive and sharing services. This program serves as a customer-facing presence for the NIAID research community, providing a single point of support for new initiatives, ongoing projects, and scientific IT needs. In your role as a Scientific Program Manager, you will lead a multidisciplinary team responsible for delivering comprehensive scientific services to an end-user community of approximately 4500.

    Under your leadership, you will be responsible for developing and implementing customer support policies and procedures with a focus on metrics driven execution to ensure that scientific and computational services are delivered to our client on time and efficiently. You will proactively identify areas for improvement, implement process enhancements, and drive efficiency for our scientific services portfolio. You will prioritize building relationships with researchers to understand their needs, solve challenges, and align our program to deliver value to support scientific research. You must be able to simultaneously manage various duties and obligations such as project and team management to ensure customer satisfaction while enhancing the caliber of services delivered.


    • Provides day to day team management and oversight of project execution and service delivery for scientific infrastructure and scientific instrumentation teams. This includes delegating tasks, providing clear direction, and inspiring collaboration and teamwork.
    • Accountable for the development and delivery of scientific IT services and capabilities, strategic planning, budgeting and forecasting, and customer outreach and engagement.
    • Overseeing personnel management including staff recruitment, hiring, performance management, training, and mentoring.
    • Ensures service delivery alignment with program and customer strategic goals by developing strategic roadmaps and tracking KPI's.
    • Collaborates with internal and external resources to identify new service offerings to enable and advance scientific research. Develop plans and identifies resources required for implementation and execution.
    • Facilitate regular discussions with researchers to understand needs and challenges.
    • Provides transparent communications on project timelines, resource requirements, risk management, and status reporting across all organizational and technical boundaries.
    • Provides oversight for critical incidents, coordinating with resolution parties and establishing effective communication between stakeholders for post incident reviews and after-action reporting.


    • Masters and 5+ years experience or equivalent in a Science and IT related discipline
    • 5+ years experience leading multiple computational science programs
    • 5+ years experience in IT project management or development and delivery of scientific IT services
    • Demonstrated experience leading multidisciplinary teams supporting operations and maintenance of computational science systems and applications
    • Understanding of general workflows for scientific data generation, analysis, and reporting
    • Understanding of challenges and approaches for large scale scientific data management
    • Experience developing and aligning relationships with diverse stakeholders at all levels from scientists through senior leadership
    • Experience providing accurate and regular reports to measure how deliverables align with the organization values and strategic objectives


    • Education or experience in life or physical sciences
    • Experience leading cross-functional teams including scientists and engineers
    • Experience leading teams supporting engineering and administration of computational science infrastructure, including HPC and associated components
    • Experience providing IT support for scientific instrumentation installation, configuration, operations, and troubleshooting
    • Experience supporting large collections (hundreds) of shared applications, many of which are open source
    • Familiarity with genomic analyses tools, workflows and data types
    • Familiarity with Agile Scrum and/or Kanban methodologies
    • Familiarity with principles and practices of ITIL to include incident management, problem management, service request management, change management, and service level management.
    • Understanding of the National Institute of Standards and Technology (NIST) cybersecurity framework and Security Assessment and Authorization (SA&A) process


    This position is primarily remote; however, you must reside within commuting distance to the client site in Rockville, MD and be able to be onsite at least 1x a week to meet contractual obligations and project needs. Possible travel to the Montana location.


    Apply online:
    Research: A genomic language model (gLM) artificial intelligence
    Submitted by J.W. Bizzaro; posted on Thursday, April 04, 2024


    In a new Nature Communications article, researchers describe a genomic language model (gLM) capable of predicting protein co-regulation and function. The gLM, which was trained on millions of metagenomic scaffolds, has learned to interpret the language of genes, revealing the intricate dance of protein regulation and enzymatic functions. This approach is a leap forward in our understanding of the genomic blueprint and its regulatory networks.


    Hwang, Y., Cornman, A.L., Kellogg, E.H. et al. Genomic language model predicts protein co-regulation and function. Nat Commun 15, 2880 (2024).


    The Center for Biosustainability (CFB) at DTU (Denmark) and the FEMSA Biotechnology Center (CBF) at Tecnológico (TEC) de Monterrey (Mexico) have launched a joint research program to foster a bilateral strategic partnership to promote innovative projects in biosustainability (Joint CFB-CBF research program).

    The Computational Protein Engineering (CPE) group at DTU Biosustain and the Molecular and Systems Bioengineering (MSB) group at TEC campus Guadalajara (Jalisco) are offering one postdoctoral position as part of this Joint CFB-CBF program in the area of in vivo enzyme evolution in yeast for C1 metabolism. The candidate will be hired at DTU but It is required that the candidate makes at least a six month stay in the Tecnológico de Monterrey Campus Jalisco, Mexico.


    We are looking for a colleague who is independent, will thrive within an interdisciplinary environment at two world-class research centres in Denmark and Mexico (short-term research visit at TEC for 6 months), and is highly motivated to develop novel biosustainable solutions using cutting-edge research approaches.

    • Engineer yeast strains to assimilate C1 feedstocks.
    • Perform genome mining to identify enzyme candidates using bioinformatic approaches.
    • Characterize enzyme variants using biophysical and biochemical methods.
    • Generate and analyze large enzyme mutant datasets using in vivo directed evolution tools and next-generation sequencing.
    • Implement adaptive laboratory evolution (ALE) campaigns using automation.
    • Report your research results in peer-review scientific publications and international conferences.
    • Collaborate within the CPE and MSB research groups and across DTU and TEC network.
    • PhD in biotechnology, biochemistry, biology, chemistry, biophysics, or related area.
    • Experience with yeast genetics, molecular biology, and bioinformatics.
    • Basic programming skills in Python or similar languages.
    • Excellent written and oral English proficiency.
    • Excellent communication skills for working within an interdisciplinary research team.
    • Strong analytical skills and ability to work independently.
    Preferred qualifications (not mandatory):
    • A strong publication record in peer-review scientific journals.
    • Experience with grant and patent writing as well as teaching.
    • Experience with protein and metabolic engineering.
    • Experience with directed evolution and adaptive laboratory evolution (ALE).
    • Interest in learning automation, robotics, and machine learning to improve protein function.
    • Interest in entrepreneurship to make a positive impact on planetary and human health.


    DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

    Salary & terms of employment:

    The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union.

    The period of employment is 2 years. The preferred starting date is July 1st, 2024, or according to our mutual agreement. The position is full time.

    You can read more about career paths at DTU here:


    Further information may be obtained from:

    Dr. Carlos Acevedo-Rocha (CAR): cargac[at]
    Dr. J. Donato García-García (JDGG): jdonatogg[at]

    Google Scholar profiles:



    More information about the organizations:

    DTU Biosustain and the Computational Protein Engineering group:

    TEC de Monterrey and the Molecular and Systems Bioengineering (MSB) group:

    If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark:


    Your complete online application must be submitted no later than 5 May 2024 (23:59 Danish time).

    Apply at: Postdoc in Directed Enzyme Evolution of C1 metabolism:

    Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply now", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:
    • Application (cover letter)
    • CV
    • Academic Diplomas (MSc/PhD – in English)
    • List of publications
    Applications received after the deadline will not be considered.

    All interested candidates irrespective of age, gender, disability, race, religion, or ethnic background are encouraged to apply.


    DTU Biosustain is an interdisciplinary research center that develops new knowledge and technology to support the production of biochemicals, natural products and microbial foods using fermentation processes based on microbial hosts or enzymatic processes.

    Technology for people:

    DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN's 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.
    Proteopedia.Org Seeks Help
    Submitted by Eric Martz; posted on Wednesday, April 03, 2024


    https://Proteopedia.Org needs a major upgrade. (free, open source) was created in 2007 as a wiki encyclopedia of protein molecular structure incorporating JSmol (http://Jmol.Org). It is by far the easiest place to create customized interactive molecular scenes, which are then immediately online for anyone to see. "Green links" illustrate statements in text with interactive molecular scenes in JSmol. Proteopedia's pages have been visited >230 million times. Users have authored thousands of articles, >100 of which have been visited >50,000 times each. Professors and students are major users, as well as researchers. Over 5,000 people have set up free accounts. A brief introductory overview of Proteopedia is here:

    Rejuvenation will involve upgrading the obsolete versions of linux, MySQL, and Wikimedia that it now runs with on Amazon Web Services, and making all its customized features work with the new infrastructure. Those features include support to run JSmol within Wikimedia, the Scene Authoring Tools (, green links, etc. Then the content in the present implementation could be imported into the new system using an automated script that would also need to be developed. Jaime Prilusky, who created most of the present system and has maintained it until now, would very much like help from someone familiar with the components of the infrastructure, especially current MySQL. Limited funding may be available.

    Thanks from the Proteopedia Team,


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