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In this Newsletter:

Lunch with GRAD Alum from local biotech company | Opening access to energy use data for the public good | Teaching the Interview Class | The Data Science Incubator Fellowship | The National Institute of Allergy and Infectious Diseases (NIAID) Data Science Fellowship Program | Subscription Details
Lunch with GRAD Alum from local biotech company

GRAD Alum Visit - Molly Croteau
Date:
Friday, October 20, 2017
Time:
12:00pm - 1:30pm
Location:
Campus:
Graduate Studies
http://libcal.dartmouth.edu/event/3472101



Come have lunch with GRAD alum, Molly Croteau.

41 Haldemen with lunch provided

See bio below:



Molly Croteau, Ph.D. in Chemistry

Scientist, Bioassays at Avitide, Inc.

Lebanon, New Hampshire

Molly obtained her Ph.D. in Bioinorganic Chemistry from the Dartmouth Chemistry Department in February of 2016. Her thesis work was developing new methods to understand chemical reduction and oxidation reactions in metalloproteins (proteins that contain metals); specifically a brilliant-blue colored protein called Azurin. In simple terms, she studied how the smallest unit of energy (an electron) changes how the metal interacts or binds with the protein, and how you can detect this electron change in a new way that would help scientists with more complex proteins and metals. While her work would never go on to cure cancer or fight crime, it does lay the foundation to help future researchers develop alternative energy fuels using the simple electron and natural proteins as the workhorse. Molly then applied her fundamental knowledge about binding interactions and obtained a job with Avitide, Inc. right in Lebanon, New Hampshire in February 2016.

About Avitide:

Avitide has been around since 2013 and was started at one lab bench in Adimab (another Upper Valley biotech company) with roughly 3 employees. We have grown to currently have about 35 employees in Merck’s old space in the Dartmouth Regional Technology Center (DRTC), with a foreseeable expansion in the future. In the biotech world, growing and purifying biological drugs (like insulin) is a long, tedious, and expensive process. Here at Avitide, we design and build unique molecules to help purify biologics for large biopharmaceutical companies, so they can bring the drugs to market directly, or be accepted into clinical trials. We perform these tasks in 3 months, and offer more robust solutions to the current industry. In simple terms, let’s say a company has made a fruit smoothie, but they really only want the banana part of that smoothie from the mixture. Typically, they would pass the smoothie mixture through six to eight different filters, and eventually they would get just the banana part (the pure drug substance). At Avitide, we design and build one filter that separates the banana from the smoothie in one shot, with minimal banana clean up afterwards. Of course, we don’t actually work with smoothies and bananas, but with cell mixtures that contain the expressed drug of choice.

Molly is a Bioassay Scientist at Avitide, which entails determining how our molecules interact with the biological drug substances we receive from clients. She uses ForteBio Octet (BLI) technology, along with other binding technologies (ELISA, etc.) to select the best molecules from over 5,000 to 1 or 2 lead candidates. She also is the lead manager for a large and complex multi- year project, which entails data organization and task delegation throughout the entire workforce.

Other Info:

Molly knew that she wanted to pursue a career in the science industry, opposed to academia, and set her tasks in graduate school to meet this goal. She can offer advice about what techniques most industrial science companies are looking for in an employee, and how you can obtain those techniques during graduate school. She can also answer questions about large companies vs. small companies, postdoc vs. no postdoc, and other general advice.


Opening access to energy use data for the public good

Opening access to energy use data for the public good
What is needed to realize the promises of energy system change? Alexandra B. Klass of the University of Minnesota and Elizabeth Wilson of Dartmouth present and answer questions.
Thursday, October 19, 2017, 5:00 PM - 6:00 PM
Location: Dartmouth College, Moore Hall B03
Free and open to the public
Join energy experts Alexandra Klass, Distinguished McKnight University Professor at the University of Minnesota Law School, and Elizabeth Wilson, Director of the Arthur L. Irving Institute for Energy and Society and Professor of Environmental Studies at Dartmouth, for a presentation followed by discussion on the pertinent question "Can energy use data reduce electricity costs and environmental impacts? " State and local governments and electricity users want to improve the efficiency of their buildings, homes and vehicles, and reduce greenhouse gas emissions. However, access to actionable electricity consumption and other energy-related data is challenging due to current law, practices by electrical utility companies, technical challenges, and privacy concerns. Learn how energy consumption data can inform decisions that drive reductions in electricity costs and environmental impacts at all levels, and what can be done to lower the barriers to access to this data. Bring your questions!

Sponsored by:

The Arthur L. Irving Institute for Energy and Society
The Dartmouth College Library


Teaching the Interview Class

Teaching the interview class
Date:
Monday, October 23, 2017
Time:
3:30pm - 5:00pm
Location:
DCAL, 102 Baker Library
Campus:
DCAL
Categories:
DCAL
http://libcal.dartmouth.edu/event/3544464


In addition to a research talk, you may be asked to teach during your interview. Join us to chat about teaching the interview class.

Part of the academic job search series: #1 - Market and Search Overview #2. Cover Letter and CV #3. Preparing an Effective Teaching Statement #4. Workshop your Teaching Statement #5. Preparing an Effective Research Statement #6. Interviews: Responding to the Essential Questions & Mastering Media #7. Interviews: Talking about Teaching in the Interview #8. Interviews: Teaching The Interview Class #9. Interviews: Preparing and Delivering an Effective Chalk Talk. #10. Negotiating an Offer


The Data Science Incubator Fellowship

The Data Incubator Fellowship

Program: The Data Incubator is an intensive 8 week fellowship that prepares masters students, PhDs, and postdocs in STEM and social science fields seeking industry careers as data scientists. The program is free for Fellows and supported by sponsorships from hundreds of employers across multiple industries. In response to the overwhelming interest in our earlier sessions, we will be holding another fellowship.

Who Should Apply: Anyone who has already obtained a masters or PhD degree or who is within one year of graduating with a masters or PhD is welcome to apply. Applications from international students are welcome. Everyone else is encouraged to sign-up for a future session. https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.thedataincubator.com%2Ffellowship.html%23apply%3Fref%3DwZW5naW5lZXJpbmcuY2FyZWVyLnNlcnZpY2VzQGRhcnRtb3V0aC5lZHU&data=02%7C01%7Ckerry.h.landers%40dartmouth.edu%7C9bd0be6994364dc9d3dc08d50fe73615%7C995b093648d640e5a31ebf689ec9446f%7C0%7C0%7C636432408102246933&sdata=8hQLCxhaCvcWAKGoKcP5g8lvBidROU3XbGZHEwC4jfA%3D&reserved=0=

Locations: In addition to the below in-person locations, we will have a remote online session:

• New York City
• San Francisco Bay Area
• Seattle
• Boston
• Washington, DC.

Dates: All sections will be from 2018-01-02 to 2018-02-23.

Application Link: https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.thedataincubator.com%2Ffellowship.html%23apply%3Fref%3DwZW5naW5lZXJpbmcuY2FyZWVyLnNlcnZpY2VzQGRhcnRtb3V0aC5lZHU&data=02%7C01%7Ckerry.h.landers%40dartmouth.edu%7C9bd0be6994364dc9d3dc08d50fe73615%7C995b093648d640e5a31ebf689ec9446f%7C0%7C0%7C636432408102246933&sdata=8hQLCxhaCvcWAKGoKcP5g8lvBidROU3XbGZHEwC4jfA%3D&reserved=0=
Data Science in 30 minutes: Learn how to build a data-science project in our upcoming free Data Science in 30-minutes webcast. https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.eventbrite.com%2Fo%2Fthe-data-incubator-8342209540&data=02%7C01%7Ckerry.h.landers%40dartmouth.edu%7C9bd0be6994364dc9d3dc08d50fe73615%7C995b093648d640e5a31ebf689ec9446f%7C0%7C0%7C636432408102246933&sdata=iq%2Bu0hcz49EeFxA3QxZNIZv6vMFMMuSaoi10OkNwhHY%3D&reserved=0 Signup soon as space is limited.


The National Institute of Allergy and Infectious Diseases (NIAID) Data Science Fellowship Program

The National Institute of Allergy and Infectious Diseases (NIAID) Data Science Fellowship Program

The National Institute of Allergy and Infectious Diseases (NIAID) is accepting applications for the NIAID Emerging Leaders in Data Science Fellowship Program in the OSMO Office of Data Science and Emerging Technologies, the participant will receive training and hands-on-experience in applying and managing big data, bioinformatics strategies and computational platforms and tool development to study infectious, immunological, and allergic diseases in both extramural and intramural divisions at NIAID and will receive training in the intersection and management of big data and disease-oriented data-intense research efforts.

• Appointments will be for one year with the option of a second year.

• The program is rotational, and NIAID actively encourages fellows to partake in a variety of developmental assignments during their fellowship to broaden their perspectives on the mission of NIAID and the NIH, strengthen managerial and technical competencies, acquire a broad understanding of data needs at NIAID from a variety of views, and further develop their leadership abilities.

• In addition to a stipend, Research Participants will be provided with a travel and training allowance and health benefits.

For full position description and to apply visit our website at https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Forise.orau.gov%2Fnih%2Fcurrent-opportunities%2Findex.html&data=02%7C01%7Ckerry.h.landers%40dartmouth.edu%7C9bd0be6994364dc9d3dc08d50fe73615%7C995b093648d640e5a31ebf689ec9446f%7C0%7C0%7C636432408102246933&sdata=Y3QqA4fX2U3ZTmQP2ix1lCIswbDbhpe2vRS8fUmLhJc%3D&reserved=0


Subscription Details

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