Hi, please find the below SAS requirements and let me know if you have any
consultants with you.
Send resumes to [email protected] <[email protected]>
Location: Philadelphia or Raleigh
Duration: 6+ months
Position #1: Base SAS Programmer with strong understanding of the
“Commercial” aspects of the Pharmaceutical industry (not drug development or
drug submissions, but rather commercial Pharma),
Base SAS Programmer with strong understanding of the “Commercial” aspects of
the Pharmaceutical industry:
Understand the commercial aspects of the Pharmaceutical industry
Influences on physician prescription writing habits,
Rebate and formulary negotiations with managed care payers,
Pharmaceutical promotional spending.
Strong business acumen and have familiarity, knowledge and experience
working with and leveraging Commercial Pharmaceutical data sources
including:
prescriber data and sales data from IMS or WKH (Wolters Kluwer Health, a
competitor of IMS with similar data),
WKH DCL data for payer data (which keeps track of the number of healthcare
plan scripts that are being filled for various drugs),
patient procedure data from SDI or IMS (which allows one to look at the
drugs patients are taking via anonymous patient level data),
IMS HCOS for Affiliations (which may be the most complicated data set as
part of this data mix—this involves understanding the associations between
physicians and hospitals and how hospitals may influence a physician’s
writing habits; it may also incorporate affiliations between Doctors in a
group practice – it requires an understanding of all these connections and
how they may influence a physician’s writing habits), and
non-retail sales data (provided by data supplier IMS DDD, where this
represents sales going into a hospital / clinic capturing the number of
pills that are purchased, but not the actual scripts being written).
Medium to advanced Base SAS reporting / programmer, working within PC SAS
submitting batch programs to UNIX. (Minimum 3 years’ experience in SAS
programming.)
Combine SAS programming knowledge with commercial Pharma data knowledge and
pharmaceutical industry domain knowledge to work independently and make
meaningful conclusions about GSK’s commercial business.
Based on GSK reporting and analysis requests, consultant must be able to
extract data, manipulate the data, create reports and then create and
deliver insights to business and presentations via Excel and PowerPoint.
(Sample report requests include: (1) defining how many GSK accounts cover
80% of their business, or (2) evaluating profitable accounts by performing
calculations such as “sales – promotion investment = profit or loss.”)
Work with data that is already in SAS data sets; however, the consultant
must be prepared to and experienced with extracting, sorting, summarizing,
joining and merging pharma data from multiple tables, leveraging a Physician
ID common within all tables.
DATA step and/or SQL programming skills and experience required, along with
use of PROC MEANS, FREQ and EXPORT, and SAS MACRO is a must!
Ability to think innovatively and adapt analytic approaches and
applications.
Comfortable communicating results and presenting findings within Excel and
PowerPoint. That is, no graphing will be done in SAS – the consultant will
import SAS data into Excel and produce graphs within Excel. (Advanced MS
Excel skills a plus.)
Commercial pharmaceutical industry and data knowledge allow the candidate to
contribute within a week of their start date.
Ability to work on several projects simultaneously and under challenging
timelines.
Position #2: SAS/ STAT Modeler with strong understanding of Return of
Investment (ROI) Modeling.
100% On-site, 6 month FTE’s (40 hours/wk), in either Philadelphia or Raleigh
(RTP). (Extension extremely likely for up to 2 full years.)
BS or MS in statistics, operations research, economics or other quantitative
decision science field, including information technology.
Advanced Base SAS and SAS/STAT programmer / analyst, working within PC SAS
submitting batch programs to UNIX.
Maintain expertise with PROC GENMOD, PROC MIXED, PROC REG and PROC LOGISTIC,
as well as creating nonlinear models as needed.
Work with the GSK team that is broadly focused on applying new
methodologies for targeting ROI deployment of new commercial models.
Statistician with an understanding of Return on Investment (ROI) modeling
(for evaluating and modeling marketing and promotion events, such as
analyzing if a physician dinner meeting event generates increased sales).
Once ROI is completed, the consultant will inform the business unit of the
ROI and, for future activities, also help determine the optimal investment
level and which Physicians or accounts are responsive. As part of a given
promotion, for example, the consultant may leverage the coefficient within
regression models to determine if the promotion is working, and also perhaps
score individual physicians to evaluate and inform future targeting
promotion efforts.
Standard database marketing experience and skillsets required, with the
ability to create and utilize Lift Charts, ROC curves, etc. in determining
effectiveness of various models.
Experience applying advanced SAS statistical and database marketing skills
to the pharmaceutical, CPG, or financial services industries.
Ability to think innovatively and adapt analytic approaches and
applications.
Understanding of the Oncology market is a plus, because ROI analysis will be
performed on this business unit in the short-term.
Work with data that is already in SAS data sets; however, the consultant
must be prepared to and experienced with extracting, joining, sorting,
summarizing and merging data from multiple tables to produce output suitable
for modeling.
Present the ROI results and recommendations following GSK provided
templates. (Communication skills are NOT critical, however.)
The consultant can develop into this role (in learning the commercial Pharma
terms and data sources such as prescriber data, payer data, patient
procedure data, affiliations data and non-retail sales data), with a 4-6
week period of training provided for indoctrination.
*Thanks & Regards*
*Vik**ram******, *
*Orpine, Inc., *
*Phone: 678-248-6879 (Direct)*
* 770-475-1445 ext (438)*
*E-mail: **[email protected]* <[email protected]>
*www.orpine.com* <http://www.orpine.com>
*IM:maganti.orpine(yahoo/gtalk)*
**
Note: We respect your online privacy. This is not an unsolicited mail.
Under Bills 1618 Title III passed by the 105th U.S.Congress this mail can
not be considered Spam as long as we include contact information and a
method to be removed. If you are not interested in receiving our E-mails
then please reply with a "remove" in the subject line and mention all the
Email addresses to be removed with any E-mail addresses which might be
diverting the E-mails to you. I am sorry for the inconvenience
--
You received this message because you are subscribed to the Google Groups "Hot
List" group.
To post to this group, send email to [email protected].
To unsubscribe from this group, send email to
[email protected].
For more options, visit this group at
http://groups.google.com/group/directclienteq?hl=en.
