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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
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* 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
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